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Archive for the ‘Personalized Medicine’ Category

Power of Precision Medicine Could be Fueled Here – ETF Trends

Tuesday, May 26th, 2020

The ARK Genomic Revolution Multi-Sector Fund (CBOE: ARKG) is establishing a reputation for being one of the best-performing healthcare ETFs, a legacy forged over its multi-year lifespan, not just a few weeks.

One of the driving forces behind ARKGs enviable long-term track records its the managers ability to identify disruptive forces in the healthcare and genomics arenas. The intersection of precision medicine and genomics could be the next growth frontier for ARKG investors.

Increasingly, clinicians are tailoring treatments to a patients specific genetic mutations, said ARK analyst Simon Barnett in a recent note. While the number of precision therapies targeting these mutations has grown, only recently have costs dropped to a low enough level that physicians can sequence an individuals genomic profile and identify his or her mutations.

ARKG includes companies that merge healthcare with technology and capitalize on the revolution in genomic sequencing. These companies try to better understand how biological information is collected, processed and applied by reducing guesswork and enhancing precision; restructuring health care, agriculture, pharmaceuticals, and enhancing our quality of life.

Empowered by the cost declines of next generation DNA sequencing (NGS), diagnostic providers such as Veracyte (VCYT), Exact Sciences (EXAS), and Guardant Health (GH) are advancing personalized medicine by matching patients to precision therapies. ARK believes that therapeutics companies increasingly will use NGS in clinical trials, creating targeted therapies that ultimately will supplant traditional chemotherapies, writes Barnett.

Guardant Health and Veracyte combine for almost 6% of ARKGs roster.

Bolstering the long-term case for genetic sequencing is the fields ability to help healthcare professionals more accurately diagnose ailments, delivering a higher level of personalized patient care.

In the lucrative oncology field, a prime target for many genomics companies, there are myriad ways genomics and precision medicine can combine to potentially increase positive outcomes for patients.

Some mutations are not inherited and can appear spontaneously, giving rise to aggressive cells that coalesce into tumors. In the case of spontaneous variants, cancer patients are matched to targeted therapies with a lock-and-key system, according to Barnett. First, using molecular diagnostic tests, oncologists search for the mutationthe lockthat is driving tumor growth. Then, diagnostic vendors introduce the molecular information to a genomic biomarker database and search for the best treatmentthe key. Importantly, as the data on clinical outcomes feeds back into the system, the accuracy of the algorithms that match patients to therapies increases continuously.

For more on disruptive technologies, visit our Disruptive Technology Channel.

The opinions and forecasts expressed herein are solely those of Tom Lydon, and may not actually come to pass. Information on this site should not be used or construed as an offer to sell, a solicitation of an offer to buy, or a recommendation for any product.

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Moving Precision Medicine From Evaluation Into Practice and Policy – Newswise

Tuesday, May 26th, 2020

Newswise Lawrenceville, NJ, USAMay 26, 2020Value in Health, the official journal of ISPORthe professional society for health economics and outcomes research, announced today the publication of a series of articles focused on methods for moving from the evaluation of precision medicine into practice and policy. The series was published in the May 2020 issue of Value in Health.

Precision medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle, said Guest Editor Kathryn A. Phillips, PhD, Center for Translational and Policy Research on Personalized Medicine, University of California at San Francisco, San Francisco, CA, USA. This approach allows clinicians and researchers to predict more accurately which treatments and prevention strategies for a particular disease will work in which groups of people.

The themed section highlights next-generation sequencing technologies, which are the fastest-growing type of precision medicine technology. These technologies include panels that test multiple genes for a single indication, whole exome sequencing tests that evaluate the entire exome (coding regions of the genome), and whole genome sequencing tests that evaluate the entire genome.

In her introductory editorial, Methods for Moving the Evaluation of Precision Medicine Into Practice and Policy, Phillips provides historical perspective and introduces the other 5 articles in the series:

Much progress has been made in developing and applying methods to evaluate precision medicine, said Phillips. Nevertheless, new tests such as minimally invasive liquid biopsies and emerging approaches such as artificial intelligence and machine learning platforms will continue to require the development and adaptation of methods used to assess the value of precision medicine. The collective efforts of a society like ISPOR can bring together the wide range of disciplines and stakeholders that will be needed to continue to evolve the methods and approaches used to assess precision medicine.

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ABOUT ISPORISPOR, the professional society for health economics and outcomes research (HEOR), is an international, multistakeholder, nonprofit dedicated to advancing HEOR excellence to improve decision making for health globally. The Society is the leading source for scientific conferences, peer-reviewed and MEDLINE-indexed publications, good practices guidance, education, collaboration, and tools/resources in the field.Website | LinkedIn | Twitter (@ispororg) | YouTube | Facebook | Instagram

ABOUT VALUE IN HEALTHValue in Health (ISSN 1098-3015) is an international, indexed journal that publishes original research and health policy articles that advance the field of health economics and outcomes research to help healthcare leaders make evidence-based decisions. The journals 2018 impact factor score is 5.037. Value in Health is ranked 5th of 98 journals in healthcare sciences and services, 4th of 81 journals in health policy and services, and 11th of 363 journals in economics. Value in Health is a monthly publication that circulates to more than 10,000 readers around the world.Website | Twitter (@isporjournals)

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Global Nuclear Medicine Imaging Equipment Market Forecast to Grow by a Projected US$525 Million, Driven by a Revised CAGR of 2.9% AMID COVID-19 Impact…

Tuesday, May 26th, 2020

DUBLIN--(BUSINESS WIRE)--The "Nuclear Medicine Imaging Equipment - Global Market Trajectory & Analytics" report has been added to ResearchAndMarkets.com's offering.

Amid the COVID-19 crisis and the looming economic recession, the Nuclear Medicine Imaging Equipment market worldwide will grow by a projected US$525 Million, during the analysis period, driven by a revised CAGR of 2.9%. Hybrid Positron Emission Tomography (PET) Systems, one of the segments analyzed and sized in this study, is forecast to grow at over 3.5% and reach a market size of US$1.3 Billion by the end of the analysis period. The Hybrid Positron Emission Tomography (PET) Systems market will be reset to a new normal which going forwards in a post COVID-19 era will be continuously redefined and redesigned. Staying on top of trends and accurate analysis is paramount now more than ever to manage uncertainty, change and continuously adapt to new and evolving market conditions.

As part of the new emerging geographic scenario, the United States is forecast to readjust to a 1.8% CAGR. Within Europe, the region worst hit by the pandemic, Germany will add over US$12.2 Million to the region's size over the next 7 to 8 years. In addition, over US$13 Million worth of projected demand in the region will come from Rest of European markets. In Japan, the Hybrid Positron Emission Tomography (PET) Systems segment will reach a market size of US$62.5 Million by the close of the analysis period. Blamed for the pandemic, significant political and economic challenges confront China. Amid the growing push for decoupling and economic distancing, the changing relationship between China and the rest of the world will influence competition and opportunities in the Nuclear Medicine Imaging Equipment market. Against this backdrop and the changing geopolitical, business and consumer sentiments, the world's second largest economy will grow at 5.9% over the next couple of years and add approximately US$176.5 Million in terms of addressable market opportunity.

Continuous monitoring for emerging signs of a possible new world order post-COVID-19 crisis is a must for aspiring businesses and their astute leaders seeking to find success in the now changing Nuclear Medicine Imaging Equipment market landscape.

Competitors identified in this market include, among others:

Key Topics Covered:

I. INTRODUCTION, METHODOLOGY & REPORT SCOPE

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS

4. GLOBAL MARKET PERSPECTIVE

III. MARKET ANALYSIS

IV. COMPETITION

For more information about this report visit https://www.researchandmarkets.com/r/cn233m

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Global Nuclear Medicine Imaging Equipment Market Forecast to Grow by a Projected US$525 Million, Driven by a Revised CAGR of 2.9% AMID COVID-19 Impact...

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In Vitro Diagnostics Market Assessment and Forecast to 2027 – ResearchAndMarkets.com – Business Wire

Tuesday, May 26th, 2020

DUBLIN--(BUSINESS WIRE)--The "In Vitro Diagnostics - Global Market Outlook (2018-2027)" report has been added to ResearchAndMarkets.com's offering.

The Global In Vitro Diagnostics market accounted for $87.9 billion in 2018 and is expected to reach $164.4 billion by 2027, growing at a CAGR of 7.2% during the forecast period.

Increasing adoption of fully automated instruments in labs, rising awareness on personalized medicine and consequent growth of chronic diseases are the major factors driving the market growth. However, adverse reimbursement scenario is restraining the market growth.

Based on end-user, the point-of-care testing segment is likely to have a huge demand due rising requirements of these testing's as it includes biosensors, pregnancy kits and glucose meters to ensure quick and accurate results. By geography, North America is going to have a lucrative growth during the forecast period due to awareness among people regarding availability of innovative products and upsurge of strong prominent business players will lead to market growth.

Some of the key players profiled in the In Vitro Diagnostics Market include Abbott Laboratories Inc, Agilent Technologies, Becton Dickinson and Company, Biomerieux Sa, Bio-Rad Laboratories Inc, Cepheid, Danaher Corporation, Diasorin, Johnson & Johnson, Leica Biosystems Nussloch GmbH, Qiagen, Roche Diagnostics, Siemens AG, Sysmex Corporation and Thermo Fisher Scientific.

What the report offers:

Key Topics Covered

1 Executive Summary

2 Preface

3 Market Trend Analysis

3.1 Introduction

3.2 Drivers

3.3 Restraints

3.4 Opportunities

3.5 Threats

3.6 Product Analysis

3.7 Technology Analysis

3.8 Application Analysis

3.9 End-user Analysis

3.10 Emerging Markets

3.11 Impact of COVID-19

4 Porters Five Force Analysis

5 Global In Vitro Diagnostics Market, By Usability

5.1 Introduction

5.2 Reusable IVD Devices

5.3 Disposable IVD Devices

6 Global In Vitro Diagnostics Market, By Product

6.1 Introduction

6.2 Data Management Software

6.3 Reagents & Kits

6.4 Services

6.5 Instruments

6.5.1 Semi-Automated Instruments

6.5.2 Fully Automated Instruments

7 Global In Vitro Diagnostics Market, By Technology

7.1 Introduction

7.2 Blood Testing

7.3 Coagulation & Hemostasis

7.4 Hematology

7.5 Immunohematology

7.6 Microbiology

7.7 Tissue Diagnostics

7.8 Urinalysis

7.9 Clinical Chemistry

7.9.1 Basic Metabolic Panel

7.9.2 Electrolyte Panel

7.9.3 Lipid Profile

7.9.4 Liver Panel

7.9.5 Renal Profile

7.9.6 Specialty Chemical Tests

7.9.7 Thyroid Function Panel

7.10 Molecular Diagnostics

7.10.1 DNA Sequencing & Next-Generation Sequencing

7.10.2 Isothermal Nucleic Acid Amplification Technology (INAAT)

7.10.3 Microarray

7.10.4 Polymerase Chain Reaction (PCR)

7.10.5 Hybridization

7.10.5.1 In-Situ Hybridization

7.10.5.2 Fluorescence In-Situ Hybridization

7.11 Immunoassay/Immunochemistry

7.11.1 Enzyme-Linked Immunospot Assays

7.11.2 Radioimmunoassay

7.11.3 Rapid Test

7.11.4 Western Blotting

7.11.5 Enzyme-Linked Immunosorbent Assay

7.11.5.1 Chemiluminescence Immunoassays

7.11.5.2 Colorimetric Immunoassays

7.11.5.3 Fluorescence Immunoassays

8 Global In Vitro Diagnostics Market, By Application

8.1 Introduction

8.2 Autoimmune Diseases

8.3 Cardiology

8.4 Diabetes

8.5 Drug Testing/Pharmacogenomics

8.6 Endocrinology

8.7 Gastrointestinal Diseases

8.8 HIV/Aids

8.9 Infectious Diseases

8.10 Nephrology

8.11 Non-Infectious Diseases

8.12 Oncology

9 Global In Vitro Diagnostics Market, By End-user

9.1 Introduction

9.2 Academic Institutes

9.3 Home Care

9.4 Hospitals

9.5 Patient Self-Testing

9.6 Point-of-Care Testing

9.7 Laboratories

9.7.1 Large/Reference Laboratories

9.7.2 Medium-Sized Laboratories

9.7.3 Small Laboratories

10 Global In Vitro Diagnostics Market, By Geography

10.1 Introduction

10.2 North America

10.2.1 US

10.2.2 Canada

10.2.3 Mexico

10.3 Europe

10.3.1 Germany

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In Vitro Diagnostics Market Assessment and Forecast to 2027 - ResearchAndMarkets.com - Business Wire

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Cerecor and Myriad Genetics Announce that Levels of LIGHT, a Novel Cytokine, Were Highly Correlated with Disease Severity and Mortality in COVID-19…

Tuesday, May 26th, 2020

ROCKVILLE, Md., May 26, 2020 (GLOBE NEWSWIRE) -- Cerecor Inc. (NASDAQ: CERC) and Myriad Genetics Inc. (NASDAQ: MYGN) today announced that levels of novel cytokine, LIGHT, were highly correlated with disease severity and mortality in a COVID-19 acute respiratory distress syndrome (ARDS) biomarker study. The biomarker study was conducted using the serum samples of 47 hospitalized COVID-19 patients and 30 healthy controls from Hackensack Meridian Health Network.

In April 2020, approximately 1,500 people in the United States died each day from COVID-19. The viral infection triggers a hyperactive immune response leading to cytokine storm and Acute Respiratory Distress Syndrome (ARDS), which is a leading cause of death in patients who die of COVID-19. Although this hyperinflammatory process is poorly understood, the data from this study implicates the inflammatory cytokine, LIGHT, as a potential key driver of cytokine storm leading to ARDS and death.

LIGHT levels were significantly elevated in the serum of hospitalized patients with COVID-19 versus healthy controls (p value < 0.0001). The highest LIGHT levels were found in patients who required ventilator support, particularly in patients over 60. Importantly, the data demonstrated elevated LIGHT levels were also strongly linked with mortality (p=0.02).

Dr. David Perlin, Ph.D., chief scientific officer, senior vice president of the Center for Discovery and Innovation, and Professor of Medical Sciences at the Hackensack Meridian School of Medicine at Seton Hall University, commented These data are compelling and demonstrate that the inflammatory cytokine LIGHT may play a key role in cytokine storm associated with COVID-19 ARDS that leads to increased morbidity and mortality. Reducing LIGHT levels might be a key to dampening the cytokine storm in these patients, preventing the need for ventilator support and reducing mortality.

Dr. Garry Neil, M.D. chief scientific officer, Cerecor commented, As a company, we recognized the impact of cytokine storm-induced ARDS and the need for treatment options for patients in this area of high unmet need. We remain focused on the CERC-002 clinical program and rapidly moving it forward for the treatment of cytokine storm induced ARDS.

Role of LIGHT in Acute Inflammatory Response

LIGHT (homologous to Lymphotoxin, exhibits inducible expression and competes with HSV glycoprotein D for binding to herpesvirus entry mediator, a receptor expressed on T lymphocytes) is a cytokine with inflammatory actions encoded by the TNFSF14 gene. LIGHT has been shown to play a key role in the immune response to viral pneumonia. LIGHT plays an important role in regulating immune responses in the lung, gut and skin. It stimulates T Cell and B Cell response as well as induces the release of other cytokines such as IL1, IL6, IL-8, IL-10, TNF and GM-CSF.

CERC-002 (anti-LIGHT monoclonal antibody)

CERC-002 is a fully human monoclonal antibody with neutralizing action against LIGHT (TNFSF14), for treatment of children with Pediatric Crohns Disease. Cerecor holds an open IND with FDA and the drug is currently being studied in a Phase I clinical trial for patients with refractory severe Crohns disease, currently not recruiting due to COVID-19.

Free LIGHT Assay from Myriad RBM

Myriad RBM, a subsidiary of Myriad Genetics, Inc., in collaboration with Cerecor has developed an ultrasensitive assay for the detection of free LIGHT. The assay is validated for serum or plasma samples and has sufficient sensitivity to reliably measure LIGHT from normal and disease subjects.

About Myriad

Myriad Genetics Inc., is a leading personalized medicine company dedicated to being a trusted advisor transforming patient lives worldwide with pioneering molecular diagnostics. Myriad discovers and commercializes molecular diagnostic tests that: determine the risk of developing disease, accurately diagnose disease, assess the risk of disease progression, and guide treatment decisions across six major medical specialties where molecular diagnostics can significantly improve patient care and lower healthcare costs. Myriad is focused on three strategic imperatives: transitioning and expanding its hereditary cancer testing markets, diversifying its product portfolio through the introduction of new products and increasing the revenue contribution from international markets. For more information on how Myriad is making a difference, please visit the Company's website: http://www.myriad.com.

About Hackensack Meridian Health

Hackensack Meridian Health is a leading not-for-profit health care organization that is the largest, most comprehensive and truly integrated health care network in New Jersey, offering a complete range of medical services, innovative research and life-enhancing care. Hackensack Meridian Health comprises 17 hospitals from Bergen to Ocean counties, which includes three academic medical centers Hackensack University Medical Center in Hackensack, Jersey Shore University Medical Center in Neptune, JFK Medical Center in Edison; two children's hospitals - Joseph M. Sanzari Children's Hospital in Hackensack, K. Hovnanian Children's Hospital in Neptune; nine community hospitals Bayshore Medical Center in Holmdel, Mountainside Medical Center in Montclair, Ocean Medical Center in Brick, Palisades Medical Center in North Bergen, Pascack Valley Medical Center in Westwood, Raritan Bay Medical Center in Old Bridge, Raritan Bay Medical Center in Perth Amboy, Riverview Medical Center in Red Bank, and Southern Ocean Medical Center in Manahawkin; a behavioral health hospital Carrier Clinic in Belle Mead; and two rehabilitation hospitals JFK Johnson Rehabilitation Institute in Edison and Shore Rehabilitation Institute in Brick. Additionally, the network has more than 500 patient care locations throughout the state which include ambulatory care centers, surgery centers, home health services, long-term care and assisted living communities, ambulance services, lifesaving air medical transportation, fitness and wellness centers, rehabilitation centers, urgent care centers and physician practice locations. Hackensack Meridian Health has more than 34,100 team members, and 6,500 physicians and is a distinguished leader in health care philanthropy, committed to the health and well-being of the communities it serves.

About the Center for Discovery and Innovation

The Center for Discovery and Innovation (CDI), a newly established member of Hackensack Meridian Health, seeks to translate current innovations in science to improve clinical outcomes for patients with cancer, infectious diseases and other life-threatening and disabling conditions. The CDI, housed in a fully renovated state-of-the-art facility, offers world-class researchers a support infrastructure and culture of discovery that promotes science innovation and rapid translation to the clinic.

About Cerecor

Cerecor is a biopharmaceutical company focused on becoming a leader in development and commercialization of treatments for rare pediatric and orphan diseases. The Company is advancing an emerging clinical-stage pipeline of innovative therapies. The Companys pediatric rare disease pipeline is led by CERC-801, CERC-802 and CERC-803 (CERC-800 programs), which are therapies for inborn errors of metabolism, specifically disorders known as Congenital Disorders of Glycosylation (CDGs). The FDA granted Rare Pediatric Disease Designation and Orphan Drug Designation (ODD) to all three CERC-800 programs, thus potentially qualifying the Company to receive a Priority Review Voucher (PRV) upon approval of a new drug application (NDA). The Company is also developing CERC-002, CERC-006 and CERC-007. CERC-007 is an anti-IL-18 monoclonal antibody being developed for the treatment of autoimmune inflammatory diseases such as Adult Onset Stills Disease (AOSD) and Multiple Myeloma (MM). CERC-006 is a dual mTOR inhibitor being developed for the treatment of complex Lymphatic Malformations. CERC-002 is an anti-LIGHT monoclonal antibody being developed for the treatment of Pediatric-onset Crohns Disease.

For more information about Cerecor, please visit http://www.cerecor.com.

Forward-Looking Statements

This press release may include forward-looking statements made pursuant to the Private Securities Litigation Reform Act of 1995. Forward-looking statements are statements that are not historical facts. Such forward-looking statements are subject to significant risks and uncertainties that are subject to change based on various factors (many of which are beyond Cerecors control), which could cause actual results to differ from the forward-looking statements. Such statements may include, without limitation, statements with respect to Cerecors plans, objectives, projections, expectations and intentions and other statements identified by words such as projects, may, might, will, could, would, should, continue, seeks, aims, predicts, believes, expects, anticipates, estimates, intends, plans, potential, or similar expressions (including their use in the negative), or by discussions of future matters such as: the development of product candidates or products; timing and success of trial results and regulatory review; potential attributes and benefits of product candidates; and other statements that are not historical. These statements are based upon the current beliefs and expectations of Cerecors management but are subject to significant risks and uncertainties, including: drug development costs, timing and other risks, including reliance on investigators and enrollment of patients in clinical trials, which might be slowed by the COVID-19 pandemic; regulatory risks; Cerecor's cash position and the need for it to raise additional capital; general economic and market risks and uncertainties, including those caused by the COVID-19 pandemic; and those other risks detailed in Cerecors filings with the Securities and Exchange Commission. Actual results may differ from those set forth in the forward-looking statements. Except as required by applicable law, Cerecor expressly disclaims any obligations or undertaking to release publicly any updates or revisions to any forward-looking statements contained herein to reflect any change in Cerecors expectations with respect thereto or any change in events, conditions or circumstances on which any statement is based.

For media and investor inquiries for Cerecor, Inc.

James Harrell,Investor RelationsChief Commercial OfficerCerecor Inc.jharrell@cerecor.com623.439.2220 office

For media and investor inquiries for Myriad Genetics, Inc.

Scott GleasonSVP of Investor Relations and Corporate StrategyMyriad Genetics, Inc.sgleason@myriad.com801.584.1143 office

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Why do some people get so sick from COVID-19? The answer may be in your genes – fox4kc.com

Tuesday, May 26th, 2020

AURORA, Colo. Aside from age and underlying health issues, scientists believe the answer to a lot questions about COVID-19 and how it affects people differently could be in their genes.

A researcher at the University of Colorado School of Medicine is on the forefront of finding out more, KDVR reported. Hes helping lead an international team to learn if genetics plays a role into why some people with the coronavirus get severely ill and even die, while others have no symptoms.

We think that variation in genes controls how we respond to SARS-Co-V-2, said Dr. Paul Norman, an associate professor in the Division of Biomedical Informatics and Personalized Medicine and a principal investigator at the University of Colorado School of Medicine.

Norman, along with about 600 researchers in 45 countries, is part ofThe COVID-19 Host Genetics Initiative. Its a collaborative scientific effort to generate, share, analyze and data to learn more about the coronavirus.

In Colorado, Norman is sending a questionnaire to 140,000 people who are part of theColorado Center for Personalized Medicine Biobank. His goal is to look at the genetic makeup of people who have had COVID-19 to see if theres a connection.

He and other researchers are also getting data from23andMe, an at-home genetic test, and theNational Bone Marrow Registry.

Researchers have discovered genetic connections with HIV, malaria and the SARS virus from 2002 and 2003.

There are variances that dont make you less susceptible, but they make your immune response better, Norman said.

If researchers discover genetic variances with the coronavirus, they could ultimately help develop a drug to treat it and a vaccine to prevent it.

The Biobank is accepting participants for the COVID-19 and other studies. Learn more about ithere.

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Tech optimization: Unlocking the promise of precision medicine – Healthcare IT News

Monday, May 18th, 2020

The healthcare provider organization is a crucial participant in a fast-evolving ecosystem around precision medicine, which includes pharma and biotech companies, medical device manufacturers, national research organizations, academic medical centers, patient advocacy groups, and others.

According to the Precision Medicine Initiative, precision medicine is an approach for disease treatment and prevention that takes into account individual variability in genes, environment and lifestyles.

Precision medicine and personalized medicine often are used interchangeably, but have slightly different connotations with the former focused more on the clinical realm of genomics and the latter taking a more expansive view of social and behavioral health.

Both hold huge potential for better health outcomes but also require complex and challenging technology deployments, changes to clinical workflow, and education for physicians and patients alike.

It is important that the provider CIO help to lead their organization into this new world by considering how existing technologies can be optimized and how new, disruptive technologies can be anticipated over multiple years of capital budget investments, said Dan Kinsella, managing director, healthcare and life science, at consulting giant Deloitte.

Of paramount importance to the typical provider CIO is how to operationalize precision medicine at the point of care. There is not a one-size-fits-all solution for healthcare providers, but there are leading practices to consider whether you are an academic medical center, an integrated delivery network or a community hospital.

In this special report, seven precision medicine technology experts from Accenture, CereCore, Chilmark Research, Deloitte and Orion Health offer healthcare provider organization CIOs and other health IT leaders best practices for optimizing this technology.

Some optimization techniques for precision medicine technologies can take place during system implementation. Implementing precision medicine technology is no different from any other IT implementation project, said Ian McCrae, CEO of Orion Health, a healthcare technology company delivering interoperability, population health and precision medicine systems.

Healthcare CIOs and other health IT leaders must get the basics of change management right by following seven steps, McCrae advised.

Ian McCrae, Orion Health

First, know what problem you are trying to solve, he said. Have this clearly defined from the outset. Dont make the mistake of trying to implement the tech if you havent identified what you will be using it for. Second, ensure the solution makes life easier and delivers a better outcome. If the project fails in either of these areas, then it will fail overall. If the precision medicine tech doesnt make life easier for clinicians, or deliver a better outcome for patients, then why are you implementing it?

Third, have clear roles and responsibilities, including data stewardship, governance and ethics, he suggested. The principles of data governance and stewardship are critical, and must not be overlooked if a project is to be successful, he said.

What are your guidelines for governing the data you will extract? he asked. These guidelines should be clearly aligned with your organizations strategic vision and values. Ethics of data use is another critical area: informed patient consent, the right to withdraw, confidentiality, objectivity the list is long.

Fourth, CIOs need to connect the dots with precision medicine technologies, McCrae advised.

Providing a better prediction without a means to act on it will be a recipe for frustration, he said. Once you have the technology to enable improved predictions, will you also have the resources to apply the learnings? If you cant deliver a better outcome for patients, then its likely your project will fail. Fifth, remember accuracy isnt necessarily the most important thing.

We often compare solutions by how often they get the answer right, without understanding what people want to do with the answer, he added. Knowing that someone is 61.3% likely to get cancer versus 59.8% isnt as important as how quickly you can know it, and what you can do when you find out.

Sixth, stick to the plan and do not get distracted by failures along the way, he said.

We find it hard to continue the development of something when the first stage isnt as successful as we had hoped, he noted. If we are aiming to make precision medicine the gold standard across different fields but the first application isnt successful, that doesnt mean you should throw out the goal.

And seventh, start with specialties where the application is clear, said McCrae. Rather than aiming to implement the tech into a multitude of areas, select one or two specialties where the value of precision medicine is clear. Learn from those before expanding into new areas.

Dr. Charles Bell, chief medical officer at CereCore, a health IT consulting firm, advised that getting the foundational infrastructure established before precision medicine can be applied via the EHR is one best practice for optimizing the use of the technology.

Precision medicine relies on genomics genomics, including pharmacogenomics, has created a vast amount of data, whereas the advent of the EHR has established an enormous data repository, he said. The success of advancing the technology is dependent on the genomic data residing in a repository that the EHR can readily provide access to. Therefore, there is a foundational infrastructure that must be established before precision medicine can be applied leveraging the EHR platforms.

Dr. Charles Bell, CereCore

Genomic medicine is currently informing clinical care. Notable examples are in the treatment of some cancer types, cystic fibrosis and heart disease.

The integration of the EHR, the data repository and the genomics medicine platform becomes essential to translate relevant and crucial data to drive precision medicine care, Bell said. A streamlined workflow must be established that allows clinicians to provide appropriate care from within the EHR using genomics and precision medicine.

Precision medicine requires capturing and analyzing complex data so that it is actionable at the point of care. Evolution of clinician workflow to support precision medicine use cases even those that are relatively simple, such as pharmacogenomics requires multidisciplinary change-management efforts and thoughtful systems integration, said Kinsella of Deloitte.

Furthermore, the challenges of leveraging next-gen sequencing data in clinical decision support exceeds the capability of current EHR systems, except in certain use-cases such as pharmacogenomics, said Kinsellas colleague Connor OBrien, manager at Deloitte Consulting.

Dan Kinsella, Deloitte

This requires external decision support analysis, which often is a manual process, such as the outputs of diagnostic review boards, although we are seeing many attempts at automation being applied, such as the decision-support platforms being deployed by GenomOncology, 2bPrecise, Syapse and others.

When it comes to oncology and other service line roadmaps, health IT leaders should work with their service-line leaders to understand any gaps they have in the technology required to enable excellence in care delivery, Kinsella suggested.

With oncology specifically, ensure that genomic requirements are understood as the capital investments may require multiple fiscal years, he said. Refine your technology roadmap for tumor boards as the future state is likely to include a variety of external contributors such as leading academic medical centers and drug and biotech companies.

Then there are social determinants of health (SDoH). Precision requires understanding of variability in environment and lifestyle in addition to genetics. While most provider organizations are oriented to patients, expansion to the notion of member as an individual who may or may not have a medical record is required, Kinsella insisted.

Value-based contracts with payers define specific cohorts (members) for whom the provider has assumed a level of accountability, he explained. Background and lifestyle questions not typically the focus of most EHR-centric workflows are crucial to the personalization of the care we deliver.

With precision medicine comeinstitutional alliance relationships, said Kinsellas colleague Kate Liebelt, a manager with the Precision Medicine Community of Practice at Deloitte Consulting.

In addition to having the logo on your website, what is the essence of your relationships with your external partners? she asked. Are you sending your data out to a registry without distilling the value of that information for care of your own patients? Increasingly, providers are licensing proprietary data to industry partners. For example, Cancer Commons is a not-for-profit network focused on connecting patients, physicians and providers to access cutting-edge personalized treatments beyond the traditional standard of care, through data sharing.

Entities like the Texas Medical Center Accelerator harness innovation and talent from area healthcare organizations and generate start-up companies with regional, local and international reach, she added.

Real-world evidence is driving innovation in value-based contracting and reimbursement strategies as demonstrated by the CMS Oncology Care Model a new payment and delivery model designed to improve the effectiveness and efficiency of specialty care, she explained. Enablement of precision medicine helps AMCs continue to meet their tripartite mission of education, care delivery and research.

And on a related note, interoperability. Sending and receiving data from across the evolving ecosystem requires that one be at the top of one's game regarding interoperability and, importantly, cybersecurity and compliance from FTTP, to HL7, to FHIR APIand beyond, OBrien said.

Dont leave out your CISO or legal and compliance teams, he said. Current architectures integrate insights from external clinical-decision-support systems, with the EHR serving as the transactional system of record:insights derived from external decision support FHIR API-based integrations that trigger EHR transactions such as pre-populated order sets, modifications to problem lists, and incorporation of CLIA test reports into clinical documentation modules in EHRs.

Jody Ranck, senior analyst at Chilmark Research, a healthcare IT research and consulting firm, advised that integration of genomic data across different EHR systems and across different laboratory and precision medicine platforms is key and challenging for most organizations.

Genetic test results tend to be large files that are difficult to integrate into an EHR, he said. Therefore, having a road map for your precision medicine approach is essential to think ahead several years and analyze which clinical areas will be impacted by the precision medicine program first. Oncology tends to be the most well-developed area, but in our COVID-19 moment, we may see the need for adjustments as significant caseloads of patients are those recovering from treatment with long-term challenges and new knowledge of the virus expands.

Jody Ranck, Chilmark Research

The impact of the pandemic on precision medicine may have some long-term consequences for best practices.

There will be a distributional shift of baseline health characteristics at the population level for the datasets that machine learning algorithms were trained on and new features to these populations that may interact with specific precision medicine initiatives, Ranck said.

The pandemic also has highlighted how poorly prepared the health IT infrastructure was for a public health crisis. Future federal funding, if funded wisely, will have significant funding to enhance precision public health initiatives, particularly those that bring social determinants into the picture. CIOs will face growing pressure to find effective ways to leverage and enhance SDoH efforts through more precise allocation knowledge and financial resources to address the sequelae of the pandemic.

One best practice for optimizing precision medicine technology is to create integration standards that support treatment across ambulatory and inpatient settings, said Bell of CereCore.

The large amount of data that has been generated in both the ambulatory and inpatient settings creates a challenge for integration of the information, he said.

Standards need to be established and refined to aid in the adoption of the technology that will support precision medicine. Clinical-decision-support capabilities must be integrated within the EHR. The evolution of the use of genomics to support precision medicine is dependent on collaborative development by multiple stakeholders.

The list of requirements includes, but is not limited to, genomics specifications, clinical decision support, systems capable of handling genomic information, and resources to bridge the gaps between the data and its use clinically, he added.

An example of the use of pharmacogenetics is that of Warfarin dosing, he said. For a decade now, recommendations for Warfarin dose requirements have been influenced by gene studies. Though there continue to be questions of the effect on specific genotypes in some patient populations, there still has been an improvement in treatment of identified patients with warfarin therapy. The result is that information is gained for a more effective treatment plan and a decreased risk of potentially harmful side effects.

The more specific needs of varied patient populations can be addressed with further use of genetic data that is standardized across the patients settings, he added.

Most EHRs offer a genomics solution to address providers workflow, Bell noted. An order is entered into the system and a pathway provides information to enhance clinical decision-making. It takes into account clinical decision support as well as alternatives if genomic results do not exist or are not accessed within the system. For all vendors, including Meditech, Cerner and Epic, storage and access to genomic repositories needs to be resolved.

eMerge and ClinGen are examples of organizations, along with other resources and efforts, that are developing approaches to integrate genomic information into precise clinical care, he added.

To enable precision medicine, leading provider organizations are refreshing their existing analytics strategies, and hardening core data-management capabilities, said Kinsella of Deloitte. Note that analytics includes descriptive (reports on what happened yesterday), predictive (what might happen in the future) and prescriptive (for example, precision medicine leading practices), he explained.

Regarding reference architecture, use what you have, buy what you need and build what you must, Kinsella said. Explore the capabilities of your core enterprise applications including EHR, ERP and cost accounting, and adjust known levers for example, clinical-decision-support capabilities, lab-management systems, and billing and coding management to operationalize a precision medicine program. Focus on the tools you may require to ensure collection, curation, calculation and consumption of data to generate analytic insights.

On a related front, there are edge technologies and big data. By leveraging open source and edge solutions, providers can augment legacy analytics and data management capacity, Deloittes OBrien said.

For example, providers increasingly are commissioning data lakes to collect and curate data from a variety of internal and external sources, he noted. The velocity of data, including streaming, enables monitoring (for example, sepsis data),disease management and population health surveillance (for example, SDoH), and remote patient-monitoring, tapping into the tsunami of data generated from wearables and IoT.

The need for analysis provenance and traceability of results becomes amplified when dealing with molecular-level data, due to the dynamic nature of scientific discovery, he added.

Genomic variants that are classified as variants of unknown significance today can become clinically significant as scientific knowledge progresses, he said. These requirements will become even more critical as more dynamic types of omics data become clinically significant, such as being realized in the case of metabolomic and proteomic data. Put simply, todays information exhaust may become tomorrows rocket fuel.

In the continuous pursuit of data excellence, CIOs should collaborate with CMIOs, CNIOs and clinical informatics to ensure that key data elements are understood, configured to be captured by the enterprise applications, and, most important, align the workflow so that data is collected predictably, Kinsella said.

Registries, often a standard feature of enterprise EHRs, represent untapped potential, he noted. Typical features include definition of inclusion rules and calculation instructions for specific cohorts of patients. When, for example, does a diabetic patient get tagged as a diabetic patient in the diabetes registry?

Threaded throughout the emerging theme of precision medicine enablement is education around analytics: training in data science, and the application of descriptive, predictive and prescriptive analytics, he added. Increasingly, provider organizations are hiring in-house analytics experts and partnering with entities on their data strategies and capabilities, he said.

Review your organization strategy and align your data sharing approach accordingly, added Deloittes Liebelt. Are you motivated by social good? Academic pursuit of new science? Are you open to earning revenue by sharing de-identified data by building bandwidth to drive robust real-world evidence programs and innovative industry partnerships?

Patient registries and patient-reported outcomes-measurement are a significant means of value creation for provider organizations, particularly in the areas of oncology, rare and orphan disease, and chronic disease management, she said.

Theoretically, providers can predict and validate a patients predisposition to diabetes and track and measure their progress on various treatment regiments through the systematic collection of patient data, for example, population-level data, lab results, patient-reported outcomes, etc., she explained.

As providers continue to make their real-world data available in open, closed or hybrid networks, there is an emergence of innovative partnership opportunities with other provider organizations, pharmaceutical/biotechnology/medical device companies, health insurance companies, and publicly and privately funded research institutions.

On another front, precision medicine is a significant mind-shift for both patients and providers, and the integration of genomic data, or more importantly, knowledge, is a significant challenge, said Ranck of Chilmark Research.

The process of obtaining genetic information is not always as straightforward,and interpreting these results for a patient can be difficult, he said. Most diseases are not a one gene equals X disease type of phenomenon.

Physicians will need more time to digest precision medicine data and render this into actionable information for the patient, he said.

In the context of standard clinical workflows, this is a challenge, he observed. However, there are platforms that can reduce the burden for physicians, but rigorous evaluation of these solutions and the underlying science needs to be done by physicians and scientists with sufficient knowledge of statistics, machine learning and genetics.

Genetic counselors will be essential and may not be in adequate supply as precision medicine matures, he added. Precision medicine is not solely a technological issue and needs to be understood as socio-technical in nature.

Dr. Kaveh Safavi, senior managing director at Accenture Health, offers two best practices when trying to optimize precision medicine technology.

Good clinical practice today needs therapy to be tailored to the genetics of the tumor and the patients immune system for many types of cancer, he explained.

Dr. Kaveh Safavi, Accenture Health

From a CIO perspective, precision medicine achievements mean building a new environment for data acquisition, analysis and decision support in near real time. Oncology decision-support platforms will require managing genetic information of the patient, the patients tumor and other phenotypic data that may not be part of the typical electronic health record.

Since much of oncology care is provided in an ambulatory setting, it also will require seamless data sharing across care settings that may cross boundaries of a clinical enterprise but be essential to treating a patients condition in the most appropriate way possible, Safavi said.

And on another note, there is a growing body of knowledge that combines pharmacology and genomics to develop effective and safe medications and doses tailored to a patients genetic makeup, he said. A delicate part of a CIOs responsibility is selecting and investing in an informatics strategy to support this highly dynamic aspect of clinical care.

An informed drug-prescribing platform requires the ability to gather biological information found in genomes, microbiomes, proteomes, metabolomes, phenotypes and endotypes, he concluded, and applying them to drug-prescribing decision-support platforms used by prescribers should take into account looking for technology architectures with the greatest flexibility to predictably handle large data volumes and data types.

Twitter:@SiwickiHealthITEmail the writer:bill.siwicki@himssmedia.comHealthcare IT News is a HIMSS Media publication.

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The Department of Precision Medicine of Maastricht University Receives 920K from the European Commission to Further Develop Their Work on Artificial…

Monday, May 18th, 2020

MAASTRICHT, Netherlands, May 13, 2020 /PRNewswire/ --The Department of Precision Medicine atMaastricht University(The Netherlands) announced today the release of their AI tool for COVID-19 patient triage,the same week that they received 920K from the European Commission for the DRAGON project (link: information on the grant).

The D-Lab group of the Dpt of Precision Medicine is developing a personalized medicine platform to enable risk assessment of COVID-19 patients. The models, made by the group or published elsewhere, are available world-wide on their new platform https://covid19risk.ai

"We are excited to be participating in the global fight against the COVID-19 pandemic with our Decision Support System for Risk Assessment of COVID-19 patients. We have repurposed our AI methods, usually applied to oncology questions, to the COVID-19 pandemic," said Prof. Philippe Lambin, Department Head. The platform can integrate various types of medical data available as well as assess the risk of severe disease that requires mechanical ventilation.

"We also have simple models to identify vulnerable patients that should follow a strict lockdown, which include, for example, not doing their groceries themselves if they are over the age of 64 and have high blood pressure," said Dr. Avishek Chatterjee.

The recently funded European project DRAGON will achieve a patient empowerment centred decision support system that will enable multiple stakeholders to participate in improved and more rapid diagnosis, as well as the potential of precision medicine for accelerated development of new therapies.

Dr. Cary Oberije, head of the Virtual Trial Unit of the Dpt of Precision Medicine, added: "One of our missions will be to coordinate an international prospective biomarker trial on COVID-19 patients. We want to understand this virus better and use this knowledge for future outbreaks, also for other viruses."

The entire effort will be supported by the deployment of a federated machine learning system, a technology developed in Maastricht by Prof Lambin's group, that will allow for the GDPR compliant use of multinational data resources.

About the Dpt of Precision Medicine

The Department of Precision Medicine is a disease-agnostic AI department with an international group of researchers at Maastricht University. For more information visit http://www.precisionmedicinemaastricht.eu.

SOURCE Dpt of Precision Medicine, Maastricht University

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Metabolic Partnering Deals Collection 2014-2020: Access to Over 950 Deal Records – PRNewswire

Monday, May 18th, 2020

DUBLIN, May 18, 2020 /PRNewswire/ -- The "Global Metabolic Partnering 2014-2020: Deal Trends, Players and Financials" report has been added to ResearchAndMarkets.com's offering.

This report provides the full collection of Metabolic disease deals signed between the world's pharmaceutical and biotechnology companies since 2014.

Most of the deals included within the report occur when a licensee obtains a right or an option right to license a licensor's product or technology. More often these days these deals tend to be multi-component including both a collaborative R&D and a commercialization of outcomes element.

The report takes readers through the comprehensive Metabolic disease deal trends, key players and top deal values allowing the understanding of how, why and under what terms companies are currently entering Metabolic deals.

The report presents financial deal terms values for Metabolic deals, where available listing by overall headline values, upfront payments, milestones and royalties enabling readers to analyse and benchmark the value of current deals.

The initial chapters of this report provide an orientation of Metabolic dealmaking trends.

In addition, a comprehensive appendix is provided with each report of all Metabolic partnering deals signed and announced since 2014. The appendices are organized by company A-Z, stage of development at signing, deal type (collaborative R&D, co-promotion, licensing etc) and technology type. Each deal title links via Weblink to an online version of the deal record and where available, the contract document, providing easy access to each contract document on demand.

The report also includes numerous tables and figures that illustrate the trends and activities in Metabolic partnering and dealmaking since 2014.

In conclusion, this report provides everything a prospective dealmaker needs to know about partnering in the research, development and commercialization of Metabolic technologies and products.

Analyzing actual contract agreements allows assessment of the following:

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/y88s2r

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Research and Markets Laura Wood, Senior Manager [emailprotected]

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When the pandemic is in the past, will digital health have gained much ground? – AI in Healthcare

Monday, May 18th, 2020

[I]t is never too soon to think of a post-corona world, he writes, where new technologies and medical fields such as digital health can coexist in greater harmony with, and due attention to, social justice and ecological determinants of health than the pre-corona world.

Digital health, zdemir also notes, builds on the concept and theory of cyber-physical systems that create a digital replica of all living and inanimate objects on the planet.

Representative article titles in the issue include New Machine Learning Applications to Accelerate Personalized Medicine in Breast Cancer: Rise of the Support Vector Machines, Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine and Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology.

To access the all-free issue, click here.

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Artificial Intelligence Markets in IVD, 2019-2024: Breakdown by Application and Component – GlobeNewswire

Monday, May 18th, 2020

Dublin, May 15, 2020 (GLOBE NEWSWIRE) -- The "Artificial Intelligence Markets in IVD" report has been added to ResearchAndMarkets.com's offering.

This report examines selected AI-based initiatives, collaborations, and tests in various in vitro diagnostic (IVD) market segments.

Artificial Intelligence Markets in IVD contains the following important data points:

The past few years have seen extraordinary advances in artificial intelligence (AI) in clinical medicine. More products have been cleared for clinical use, more new research-use-only applications have come to market and many more are in development.

In recent years, diagnostics companies - in collaboration with AI companies - have begun implementing increasingly sophisticated machine learning techniques to improve the power of data analysis for patient care. The goal is to use developed algorithms to standardize and aid interpretation of test data by any medical professional irrespective of expertise. This way AI technology can assist pathologists, laboratorians, and clinicians in complex decision-making.

Digital pathology products and diabetes management devices were the first to come to market with data interpretation applications. The last few years have seen the use of AI interpretation apps extended to a broader range of products including microbiology, disease genetics, and cancer precision medicine.

This report will review some of the AI-linked tests and test services that have come to market and others that are in development in some of the following market segments:

Applications of AI are evolving that predict outcomes such as diagnosis, death, or hospital readmission; that improve upon standard risk assessment tools; that elucidate factors that contribute to disease progression; or that advance personalized medicine by predicting a patient's response to treatment. AI tools are in use and in development to review data and to uncover patterns in the data that can be used to improve analyses and uncover inefficiencies. Many enterprises are joining this effort.

The following are among the companies and institutions whose innovations are featured in Artificial Intelligence Markets in IVD:

Key Topics Covered

Chapter 1: Executive Summary

Chapter 2: Artificial Intelligence In Diagnostics Markets

Chapter 3: Market Analysis: Artificial Intelligence in Diagnostics

For more information about this report visit https://www.researchandmarkets.com/r/vw8l7u

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Flatiron Health, Foundation Medicine and Genentech Partner to Launch Novel Prospective Lung Cancer Clinical Study – Business Wire

Monday, May 18th, 2020

NEW YORK--(BUSINESS WIRE)--Flatiron Health, Foundation Medicine, and Genentech, a member of the Roche Group, in partnership with community and academic oncology practices, have launched the Prospective Clinico-Genomic (PCG) Study, NCT04180176. PCG is a novel, low-interventional study that will pilot the use of a technology-enabled prospective data collection platform to facilitate, streamline and simplify the execution of clinical trials for patients living with advanced lung cancer.

The PCG Study, funded and sponsored by Genentech, is a feasibility study with secondary aims to better understand how genomic changes in a patients tumor may predict response or impact resistance to treatment in people diagnosed with metastatic non-small cell lung cancer or extensive stage small cell lung cancer by building a linked data- and bio-repository. Flatirons prospective real-world data collection technology will be leveraged for this study, which will enroll approximately 1,000 patients. These patients will undergo serial liquid biopsies using Foundation Medicines liquid biopsy assay to assess genomic changes in their cancer over the course of treatment. Leveraging technology developed following years of collaboration between Flatiron and Foundation Medicine, the clinical, genomic, imaging and outcomes data will be a part of a comprehensive data platform that is designed to accelerate research, a central part of Roches vision for personalized healthcare.

Through technology-driven innovation, we have realized our vision of building a platform that enables meaningful clinical research while also minimizing the burden on clinicians and research teams. This includes features such as centralized and remote study monitoring, streamlined patient identification, and technology-assisted abstraction to eliminate duplicate data entry and the need to use a separate electronic data capture system, said Dr. Bobby Green, chief medical officer at Flatiron Health. Our goal is to bring vital clinical research to patients where their care is already being delivered, and to do so efficiently and seamlessly.

Since launching the study in December 2019, 14 practices from Flatirons network have been activated: Alabama Oncology, Cancer & Hematology Centers of Western Michigan, Clearview Cancer Institute, Fort Wayne Medical Oncology and Hematology, Hematology Oncology Associates of Central New York, Hematology Oncology Associates of Fredericksburg, Highlands Oncology Group, Jackson Oncology Associates in Mississippi, New York Cancer & Blood Specialists, Oklahoma Cancer Specialists and Research Institute, RCCA-Central Jersey, Southeast Nebraska Cancer Center, Virginia Cancer Institute, and West Cancer Center. Additional research sites are planned over time.

Clinical trials are critically important to advancing cancer research, but the way trials are run has in many ways not changed in decades, and continues to be burdensome and time-consuming, said Dr. Lee Schwartzberg, chief medical officer at OneOncology, and physician at West Cancer Center. The PCG Study has the potential to help transform how clinical trials are conducted, ultimately making research more feasible for all sites and increasing the number of trial opportunities for patients. We hope that the study design and technology deployed in PCG will ultimately become standard practice and used across a wide swath of trials.

"We've been a part of this study since December, and it is an exciting opportunity to be a part of building this research platform. While this study is expected to help patients in the future, it also provides important information for our enrolled patients invaluable to their current management, shared Dr. Eric Santos, physician at Cancer & Hematology Centers of Western Michigan.

Using new platforms to accelerate the development and delivery of the best possible medicines for every type of patient is central to our vision for personalized healthcare, said Mark Lee, global head of personalized healthcare, product development, at Genentech. The PCG Study represents an important step toward the next iteration of the clinical research ecosystem, opening up opportunities to extend clinical trials into the real world setting to more investigators and more patients than ever before."

At this years ASCO Virtual Scientific Program, Genentech, Flatiron, Foundation Medicine and co-authors will present the study design and objectives in a Trials-In-Progress abstract titled, A multi-stakeholder platform to prospectively link longitudinal real-world clinico-genomic, imaging, and outcomes data for patients with metastatic lung cancer.

To learn more about the PCG Study, contact PCG@flatiron.com.

About Flatiron Health

Flatiron Health is a healthcare technology and services company focused on accelerating cancer research and improving patient care. Our platform enables cancer researchers and care providers to learn from the experience of every patient. Currently, Flatiron partners with over 280 community cancer practices, seven major academic research centers and over 15 of the top therapeutic oncology companies. For more information, please visit http://www.flatiron.com or follow us @FlatironHealth.

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Nucleic Acid Amplification Testing Market 2020-2026: Key Vendor Landscape By Regional Output, Demand By Countries And Future Growth – Cole of Duty

Monday, May 18th, 2020

The market research report is a brilliant, complete, and much-needed resource for companies, stakeholders, and investors interested in the global Nucleic Acid Amplification Testing market. It informs readers about key trends and opportunities in the global Nucleic Acid Amplification Testing market along with critical market dynamics expected to impact the global market growth. It offers a range of market analysis studies, including production and consumption, sales, industry value chain, competitive landscape, regional growth, and price. On the whole, it comes out as an intelligent resource that companies can use to gain a competitive advantage in the global Nucleic Acid Amplification Testing market.

Key companies operating in the global Nucleic Acid Amplification Testing market include F. Hoffmann-La Roche, Becton, Dickinson and Company, Beckman Coulter, Abbott Laboratories, Illumina, Siemens Healthineers, bioMerieux, Novartis, Bio-Rad Laboratories, etc.

Get PDF Sample Copy of the Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) :

https://www.qyresearch.com/sample-form/form/1766968/covid-19-impact-on-nucleic-acid-amplification-testing-market

Segmental Analysis

Both developed and emerging regions are deeply studied by the authors of the report. The regional analysis section of the report offers a comprehensive analysis of the global Nucleic Acid Amplification Testing market on the basis of region. Each region is exhaustively researched about so that players can use the analysis to tap into unexplored markets and plan powerful strategies to gain a foothold in lucrative markets.

Global Nucleic Acid Amplification Testing Market Segment By Type:

,Target Amplification Systems,Probe Amplification Systems,Signal Amplification

Global Nucleic Acid Amplification Testing Market Segment By Application:

,Infectious Diseases,Cancer,Personalized Medicine,Genetic and Mitochondrial Disorders

Competitive Landscape

Competitor analysis is one of the best sections of the report that compares the progress of leading players based on crucial parameters, including market share, new developments, global reach, local competition, price, and production. From the nature of competition to future changes in the vendor landscape, the report provides in-depth analysis of the competition in the global Nucleic Acid Amplification Testing market.

Key companies operating in the global Nucleic Acid Amplification Testing market include F. Hoffmann-La Roche, Becton, Dickinson and Company, Beckman Coulter, Abbott Laboratories, Illumina, Siemens Healthineers, bioMerieux, Novartis, Bio-Rad Laboratories, etc.

Key questions answered in the report:

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TOC

1.1 Research Scope1.2 Market Segmentation1.3 Research Objectives1.4 Research Methodology1.4.1 Research Process1.4.2 Data Triangulation1.4.3 Research Approach1.4.4 Base Year1.5 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth1.5.1 Covid-19 Impact: Global GDP Growth, 2019, 2020 and 2021 Projections1.5.2 Covid-19 Impact: Commodity Prices Indices1.5.3 Covid-19 Impact: Global Major Government Policy1.6 The Covid-19 Impact on Nucleic Acid Amplification Testing Industry1.7 COVID-19 Impact: Nucleic Acid Amplification Testing Market Trends 2 Global Nucleic Acid Amplification Testing Quarterly Market Size Analysis2.1 Nucleic Acid Amplification Testing Business Impact Assessment COVID-192.1.1 Global Nucleic Acid Amplification Testing Market Size, Pre-COVID-19 and Post- COVID-19 Comparison, 2015-20262.2 Global Nucleic Acid Amplification Testing Quarterly Market Size 2020-20212.3 COVID-19-Driven Market Dynamics and Factor Analysis2.3.1 Drivers2.3.2 Restraints2.3.3 Opportunities2.3.4 Challenges 3 Quarterly Competitive Assessment, 20203.1 By Players, Global Nucleic Acid Amplification Testing Quarterly Market Size, 2019 VS 20203.2 By Players, Nucleic Acid Amplification Testing Headquarters and Area Served3.3 Date of Key Players Enter into Nucleic Acid Amplification Testing Market3.4 Key Players Nucleic Acid Amplification Testing Product Offered3.5 Mergers & Acquisitions, Expansion Plans 4 Impact of Covid-19 on Nucleic Acid Amplification Testing Segments, By Type4.1 Introduction1.4.1 Target Amplification Systems1.4.2 Probe Amplification Systems1.4.3 Signal Amplification4.2 By Type, Global Nucleic Acid Amplification Testing Market Size, 2019-2021 5 Impact of Covid-19 on Nucleic Acid Amplification Testing Segments, By Application5.1 Overview5.5.1 Infectious Diseases5.5.2 Cancer5.5.3 Personalized Medicine5.5.4 Genetic and Mitochondrial Disorders5.2 By Application, Global Nucleic Acid Amplification Testing Market Size, 2019-20215.2.1 By Application, Global Nucleic Acid Amplification Testing Market Size by Application, 2019-2021 6 Geographic Analysis6.1 Introduction6.2 North America6.2.1 Macroeconomic Indicators of US6.2.2 US6.2.3 Canada6.3 Europe6.3.1 Macroeconomic Indicators of Europe6.3.2 Germany6.3.3 France6.3.4 UK6.3.5 Italy6.4 Asia-Pacific6.4.1 Macroeconomic Indicators of Asia-Pacific6.4.2 China6.4.3 Japan6.4.4 South Korea6.4.5 India6.4.6 ASEAN6.5 Rest of World6.5.1 Latin America6.5.2 Middle East and Africa 7 Company Profiles7.1 F. Hoffmann-La Roche7.1.1 F. Hoffmann-La Roche Business Overview7.1.2 F. Hoffmann-La Roche Nucleic Acid Amplification Testing Quarterly Revenue, 20207.1.3 F. Hoffmann-La Roche Nucleic Acid Amplification Testing Product Introduction7.1.4 F. Hoffmann-La Roche Response to COVID-19 and Related Developments7.2 Becton7.2.1 Becton Business Overview7.2.2 Becton Nucleic Acid Amplification Testing Quarterly Revenue, 20207.2.3 Becton Nucleic Acid Amplification Testing Product Introduction7.2.4 Becton Response to COVID-19 and Related Developments7.3 Dickinson and Company7.3.1 Dickinson and Company Business Overview7.3.2 Dickinson and Company Nucleic Acid Amplification Testing Quarterly Revenue, 20207.3.3 Dickinson and Company Nucleic Acid Amplification Testing Product Introduction7.3.4 Dickinson and Company Response to COVID-19 and Related Developments7.4 Beckman Coulter7.4.1 Beckman Coulter Business Overview7.4.2 Beckman Coulter Nucleic Acid Amplification Testing Quarterly Revenue, 20207.4.3 Beckman Coulter Nucleic Acid Amplification Testing Product Introduction7.4.4 Beckman Coulter Response to COVID-19 and Related Developments7.5 Abbott Laboratories7.5.1 Abbott Laboratories Business Overview7.5.2 Abbott Laboratories Nucleic Acid Amplification Testing Quarterly Revenue, 20207.5.3 Abbott Laboratories Nucleic Acid Amplification Testing Product Introduction7.5.4 Abbott Laboratories Response to COVID-19 and Related Developments7.6 Illumina7.6.1 Illumina Business Overview7.6.2 Illumina Nucleic Acid Amplification Testing Quarterly Revenue, 20207.6.3 Illumina Nucleic Acid Amplification Testing Product Introduction7.6.4 Illumina Response to COVID-19 and Related Developments7.7 Siemens Healthineers7.7.1 Siemens Healthineers Business Overview7.7.2 Siemens Healthineers Nucleic Acid Amplification Testing Quarterly Revenue, 20207.7.3 Siemens Healthineers Nucleic Acid Amplification Testing Product Introduction7.7.4 Siemens Healthineers Response to COVID-19 and Related Developments7.8 bioMerieux7.8.1 bioMerieux Business Overview7.8.2 bioMerieux Nucleic Acid Amplification Testing Quarterly Revenue, 20207.8.3 bioMerieux Nucleic Acid Amplification Testing Product Introduction7.8.4 bioMerieux Response to COVID-19 and Related Developments7.9 Novartis7.9.1 Novartis Business Overview7.9.2 Novartis Nucleic Acid Amplification Testing Quarterly Revenue, 20207.9.3 Novartis Nucleic Acid Amplification Testing Product Introduction7.9.4 Novartis Response to COVID-19 and Related Developments7.10 Bio-Rad Laboratories7.10.1 Bio-Rad Laboratories Business Overview7.10.2 Bio-Rad Laboratories Nucleic Acid Amplification Testing Quarterly Revenue, 20207.10.3 Bio-Rad Laboratories Nucleic Acid Amplification Testing Product Introduction7.10.4 Bio-Rad Laboratories Response to COVID-19 and Related Developments 8 Key Findings 9 Appendix9.1 About US9.2 Disclaimer

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Updates on Single, Combination Precision Medicine in Targeted Cancer Therapy – AJMC.com Managed Markets Network

Tuesday, May 5th, 2020

In recent years, targeted cancer therapies have increased in use. These individualized treatments are based on the genetic makeup of a patient's disease.

Precision medicine in cancer is characterized by these personalized therapies, and it is tailored to address potential genetic changes in a patients tumor. By directly attacking the tumor, the researchers stress the impact this can have in protecting healthy cells that are also damaged during chemotherapy and radiotherapy, which can lead to severe toxicity in healthy tissues.

The researchers sought to provide an outline of emerging developments in targeted cancer therapy, particularly 2 areas of interest: immune-based therapy and enzyme-/small moleculesbased therapies. They included advancements in cancer targeted therapy, personalized medicine, and cancer combination therapies from research papers published from 2010 to June 2019.

Immune-Based Therapy

As the study authors discuss, immunotherapy-based strategies differ from both chemotherapy and radiotherapy-based treatments. Instead of directly attacking the growth of the cancer, the approach enhances the immune response to the cancer. Several notable innovations have increased the availability of this strategy, including immune checkpoint inhibitors (ICIs), immune cytokines, tumor-targeted superantigens, and ligand targeted therapeutics.

ICIs have served as major advancements in oncology, with several already approved by the FDA. Although their impact in revolutionizing the treatment of cancer has been noted, there have also been reports they could cause serious harm to patients due to their toxicity, with some recipients reporting immune-related adverse events. The researchers highlight that further studies are warranted to gain a detailed understanding of tumors' mechanisms of resistance to checkpoint inhibitors treatment, in order to improve the therapy.

Enzyme-/Small MoleculesBased Therapies

In enzyme-/small moleculesbased therapies, the researchers cited innovations, such as the use of a proteolysis targeting chimera (PROTAC), antibody-drug conjugates, and antibody-directed enzyme prodrug therapy.

The PROTAC strategy has been expanded and utilized in the treatment of many diseases, including ER-positive breast cancer, and to target steroid hormone receptors for ubiquitination and degradation in breast and prostate cancers.

As the researchers note, the approach is inspired by a mechanism in which the cell degrades unwanted proteins and consists of a molecule with 2 independent moieties. Recently, PROTAC was used to degrade the anaplastic lymphoma kinase, which has been associated with several types of human cancer.

The conventional therapeutic paradigm for cancer and other diseases has focused on a single type of intervention for all patients. However, a large literature in oncology supports the therapeutic benefits of a precision medicine approach to therapy as well as combination therapies, said the study authors.

Reference

Bashraheel SS, Domling A, Goda SK. Update on targeted cancer therapies, single or in combination, and their fine tuning for precision medicine [published online February 25, 2020]. Biomed Pharmacother. doi: 10.1016/j.biopha.2020.110009.

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OSS to Host AI at the Edge Webinar with Leaders from NVIDIA and Marvell – GlobeNewswire

Tuesday, May 5th, 2020

ESCONDIDO, Calif., May 04, 2020 (GLOBE NEWSWIRE) -- One Stop Systems, Inc. (Nasdaq: OSS), a leader in specialized high-performance edge computing, will host a webinar on how to bring supercomputing performance to data at the edge for AI applications with leaders from NVIDIA and Marvell.

The panel will be moderated by OSS chief sales and marketing officer, Jim Ison. He will be joined by Ying Yin Shih, director of product management at NVIDIA and Larry Wikelius, vice president, ecosystem and solutions at Marvell.

Topic: AI at the Edge: Bringing Supercomputing Performance to the DataThe webinar will discuss solving hard problems in defense, aerospace, autonomous vehicles, security, personalized medicine and more by leveraging massive NVIDIA enabled AI solutions designed for the unique size, power and rugged requirements of the edge.

A new computing paradigm is emerging that puts computing and storage resources for AI and HPC workflows not in the datacenter but on the edge near the data source. Applications continue to emerge for this new paradigm in diverse areas, including autonomous vehicles, precision medicine, battlefield command and control, industrial automation, and media and entertainment.

The common elements of these solutions are high data rate acquisition, high-speed and low-latency storage, and efficient, high-performance compute analyticsall configured to meet the unique environmental conditions of edge deployments.

This webinar will explain the challenges and solutions for meeting these requirements by describing real world use cases being developed and deployed today. OSS will present use cases of its edge-focused AI on the Fly products currently deployed in intelligence, surveillance and reconnaissance (ISR), genomic analysis, location-based entertainment, and autonomous driving.

NVIDIA and Marvell will describe their collaboration to support NVIDIA CUDA and CUDA-X software platform on the high performance, low power Arm architecture with Marvells ThunderX2 server processor. The combination provides a powerful tool in the expanding set of solutions for edge-focused AI infrastructure. The panel will discuss how CUDA for Arm provides an effective AI on the Fly building block for edge-oriented solutions where high performance, memory bandwidth and low power are essential.

Date: Wednesday, May 6 Time: 9:00 a.m. PDT

Register for this webinar today, click here.

About One Stop SystemsOne Stop Systems, Inc. (OSS) designs and manufactures innovative specialized high-performance computing modules and systems, including customized servers, compute accelerators, expansion systems, flash storage arrays and Ion Accelerator storage software. These products are used for deep learning, AI, defense, finance and entertainment applications, and empower scientists, engineers, creators and other professionals to push the boundaries of their industries.

OSS utilizes the power of PCI Express, the latest GPU accelerators and NVMe storage to build award-winning systems, including many industry firsts, for OEMs and government customers. The company enables AI on the Fly by bringing AI datacenter performance to the edge and on mobile platforms, and by addressing the entire AI workflow, from high speed data acquisition to deep learning, training and inference. OSS products are available directly or through global distributors. For more information, go to http://www.onestopsystems.com.

Forward-Looking StatementsOne Stop Systems cautions you that statements in this press release that are not a description of historical facts are forward-looking statements. These statements are based on the company's current beliefs and expectations. These forward-looking statements include statements regarding the use of our products and applications in certain industries. The inclusion of forward-looking statements should not be regarded as a representation by One Stop Systems or its partners that any of our plans or expectations will be achieved. Actual results may differ from those set forth in this press release due to the risk and uncertainties inherent in our business, including, without limitation: risks associated with the fitness of One Stop Systems products and applications in certain industry sectors such as for autonomous vehicles, precision medicine, battlefield command and control, industrial automation, and media and entertainment; risks associated with the performance of our products that are combined into a third partys product, system, or application; and other risks described in our prior press releases and in our filings with the Securities and Exchange Commission (SEC), including under the heading "Risk Factors" in our Annual Report on Form 10-K and any subsequent filings with the SEC. You are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof, and we undertake no obligation to revise or update this press release to reflect events or circumstances after the date hereof. All forward-looking statements are qualified in their entirety by this cautionary statement, which is made under the safe harbor provisions of the Private Securities Litigation Reform Act of 1995.

Trademarksin thispress releaseare theproperty of their respective owners.

Media Contact: Katie RiveraOne Stop Systems, Inc. Tel (760) 745-9883Email contact

Investor Relations:Ronald Both or Grant StudeCMATel (949) 432-7557 Email contact

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Why Greater Access To Global Data Is Vital To The Fight Against COVID-19 And Future Pandemics – Forbes

Tuesday, May 5th, 2020

As the coronavirus pandemic continues to spread around the globe, the world is facing an unprecedented crisis, carrying enormous financial and social costs unimaginable until recently. But these great difficulties also present opportunities for bold innovators to bypass bureaucracy and leapfrog their competitors, while rolling out revolutionary products at speed and scale. With the right leadership, innovative startups can use downturns to their advantage in the midst of economic crises. This can clearly be seen in Israels unique digital health innovation ecosystem.

The digital health sector is prospering in Israel. With more than 550 innovative companies, technology hubs, R&D centers, incubators, and multinational corporations in this space, the vibrant Israeli digital health ecosystem has more than doubled in size from 2011 to 2019. Now, the Startup Nation is leading the way with hundreds of scientists, innovators and investors racing to fight coronavirus. From faster diagnosis of COVID-19, to virtual homecare monitoring, to personalized medicine solutions disruptive technologies are being created and passed into service at extraordinary rates.

As historian Yuval Noah Harari recently stated, decisions that in normal times could take years of deliberation are passed in a matter of hours In normal times, governments, businesses and educational boards would never agree to conduct such experiments. But these arent normal times. Despite the risks these somewhat hurried experiments could pose to data privacy and potentially other civil liberties, many believe this may be a once-in-a-plaguetime opportunity for Israeli entrepreneurs to fast-track entry of novel technologies into the market.

Absence of epidemiological data

In order to roll out cutting-edge solutions and interventions, we vitally need one thing: easy collection and shared access to reliable global medical data and insights. Experts claim that Big Data - which analyzes large and complex datasets should be at the heart of the efforts to understand and forecast the impact that COVID-19 and other pandemics will have on all of us. But surprisingly, in todays digital world, such open flow of information barely exists in the healthcare sector.

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One of the most debated issues is the absence of epidemiological data on COVID-19 incidences in representative random samples of the general population. Just recently, the US Centers for Disease Control and Prevention announced new stunning evidence about the state of the virus: of 397 asymptomatic people tested at Bostons homeless shelter Pine Street Inn, 146 people, or 37%, tested positive for coronavirus. This is at a time when confirmed positive cases in Massachusetts amounted to roughly 0.4%. Similarly, researchers from Stanford University who recently tested 3,300 Californians in Santa Clara County for antibodies, found that the number of people who had been infected in the county was between 50 and 85 times higher than the confirmed case total.

Better predict the next outbreak

Equally important is the lack of clinical data on possible COVID-19 therapies. Three months into the outbreak, physicians are fighting an elusive enemy blindfolded, turning to experimental treatments without knowing where to look and which strategies are most likely to work.

The lack of both epidemiological and clinical data has become a huge concern for Dr. Dekel Taliaz, CEO of personalized medicine startup Taliaz, and President of Digital Health Technologies Israel, an umbrella body representing the digital health ecosystem in Israel. We would be in a totally different place if we had better access to up-to-date global medical insights, he says. Rather than decisionmakers relying on outdated or irrelevant statistics, they would be able to make flexible decisions based on real-life conditions.

This, of course, applies to future outbreaks of COVID-19 and other pandemics, as it gives the world data and tools to be able to better predict and pinpoint the next outbreak.

Real-time insights can outpace coronavirus

Imagine a world in which, based on artificial intelligence and predictive analytics, tailored sets of protocols with different levels of rigor could be implemented for every city, county and neighborhood. This is where startups like Israels Diagnostic Robotics come in. Together with Israels Ministry of Health, Diagnostic Robotics monitors, models and predicts infection trends over time, including daily geographic spread of exposed, suspected, confirmed and deteriorating patients. These dynamic COVID-19 heat maps support forecasts of community-level risk and expected strain on healthcare resources.

Other groundbreaking innovations include Datos Healths new remote management system for home-quarantined COVID-19 cases; and Binah.ais real-time remote vital signs monitoring app, which allows anyone to easily measure oxygen saturation, respiration rate, heart rate and heart rate variability just by looking into a smartphone camera. And this is just the tip of the iceberg.

The novel coronavirus is highly contagious and spreads at higher rates than initially estimated, Dr. Taliaz says. This means we need to support the development of digital tools with real-time insights that can outpace coronavirus. Taliaz has developed an artificial intelligence platform that analyzes clinical, demographic and genetic data to help doctors reduce trial and error by prescribing the right medication from the outset.

Decisionmakers need data to effectively conduct public health interventions

Considering the urgency and profound implications of the coronavirus pandemic, healthcare systems must act now, and some already do: the Israeli Ministry of Health has already opened access to its coronavirus database; similarly, South Korea has released a new website portal to support a global research collaboration on COVID-19.

While these are substantial strides forward, much information is still missing. Healthcare innovation is the backbone that will help us adapt, respond and overcome this pandemic. It is therefore critical to put in place an immediate global plan that makes the secure collection and sharing of anonymized, encrypted medical data a top priority. Now is the time to provide decisionmakers with the valuable data they need to transform existing rigid, static protocols into dynamic, data-driven public health interventions. If we choose global cooperation, we may not only protect our deeply interconnected world from coronavirus, but also prepare it for future pandemics.

Danielle Shapira of Maverick Ventures Israel contributed to this article. Maverick has invested in Diagnostic Robotics and Binah.ai.

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Why Greater Access To Global Data Is Vital To The Fight Against COVID-19 And Future Pandemics - Forbes

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How Machine Learning Is Redefining The Healthcare Industry – Small Business Trends

Tuesday, May 5th, 2020

The global healthcare industry is booming. As per recent research, it is expected to cross the $2 trillion mark this year, despite the sluggish economic outlook and global trade tensions. Human beings, in general, are living longer and healthier lives.

There is increased awareness about living organ donation. Robots are being used for gallbladder removals, hip replacements, and kidney transplants. Early diagnosis of skin cancers with minimum human error is a reality. Breast reconstructive surgeries have enabled breast cancer survivors to partake in rebuilding their glands.

All these jobs were unthinkable sixty years ago. Now is an exciting time for the global health care sector as it progresses along its journey for the future.

However, as the worldwide population of 7.7 billion is likely to reach 8.5 billion by 2030, meeting health needs could be a challenge. That is where significant advancements in machine learning (ML) can help identify infection risks, improve the accuracy of diagnostics, and design personalized treatment plans.

source: Deloitte Insights 2020 global health care outlook

In many cases, this technology can even enhance workflow efficiency in hospitals. The possibilities are endless and exciting, which brings us to an essential segment of the article:

Do you understand the concept of the LACE index?

Designed in Ontario in 2004, it identifies patients who are at risk of readmission or death within 30 days of being discharged from the hospital. The calculation is based on four factors length of stay of the patient in the hospital, acuity of admission, concurring diseases, and emergency room visits.

The LACE index is widely accepted as a quality of care barometer and is famously based on the theory of machine learning. Using the past health records of the patients, the concept helps to predict their future state of health. It enables medical professionals to allocate resources on time to reduce the mortality rate.

This technological advancement has started to lay the foundation for closer collaboration among industry stakeholders, affordable and less invasive surgery options, holistic therapies, and new care delivery models. Here are five examples of current and emerging ML innovations:

From the initial screening of drug compounds to calculating the success rates of a specific medicine based on physiological factors of the patients the Knight Cancer Institute in Oregon and Microsofts Project Hanover are currently applying this technology to personalize drug combinations to cure blood cancer.

Machine learning has also given birth to new methodologies such as precision medicine and next-generation sequencing that can ensure a drug has the right effect on the patients. For example, today, medical professionals can develop algorithms to understand disease processes and innovative design treatments for ailments like Type 2 diabetes.

Signing up volunteers for clinical trials is not easy. Many filters have to be applied to see who is fit for the study. With machine learning, collecting patient data such as past medical records, psychological behavior, family health history, and more is easy.

In addition, the technology is also used to monitor biological metrics of the volunteers and the possible harm of the clinical trials in the long-run. With such compelling data in hand, medical professionals can reduce the trial period, thereby reducing overall costs and increasing experiment effectiveness.

Every human body functions differently. Reactions to a food item, medicine, or season differ. That is why we have allergies. When such is the case, why is customizing the treatment options based on the patients medical data still such an odd thought?

Machine learning helps medical professionals determine the risk for each patient, depending on their symptoms, past medical records, and family history using micro-bio sensors. These minute gadgets monitor patient health and flag abnormalities without bias, thus enabling more sophisticated capabilities of measuring health.

Cisco reports that machine-to-machine connection in global healthcare is growing at a rate of 30% CAGR which is the highest compared to any other industry!

Machine learning is mainly used to mine and analyze patient data to find out patterns and carry out the diagnosis of so many medical conditions, one of them being skin cancer.

Over 5.4mn people in the US are diagnosed with this disease annually. Unfortunately, the diagnosis is a virtual and time-taking process. It relies on long clinical screenings, comprising a biopsy, dermoscopy, and histopathological examination.

But machine learning changes all that. Moleanalyzer, an Australia-based AI software application, calculates and compares the size, diameter, and structure of the moles. It enables the user to take pictures at predefined intervals to help differentiate between benign and malignant lesions on the skin.

The analysis lets oncologists confirm their skin cancer diagnosis using evaluation techniques combined with ML, and they can start the treatment faster than usual. Where experts could identify malignant skin tumors, only 86.6% correctly, Moleanalyzer successfully detected 95%.

Healthcare providers have to ideally submit reports to the government with necessary patient records that are treated at their hospitals.

Compliance policies are continually evolving, which is why it is even more critical to ensure the hospital sites to check if they are being compliant and functioning within the legal boundaries. With machine learning, it is easy to collect data from different sources, using different methods and formatting them correctly.

For data managers, comparing patient data from various clinics to ensure they are compliant could be an overwhelming process. Machine learning helps gather, compare, and maintain that data as per the standards laid down by the government, informs Dr. Nick Oberheiden, Founder and Attorney, Oberheiden P.C.

The healthcare industry is steadily transforming through innovative technologies like AI and ML. The latter will soon get integrated into practice as a diagnostic aid, particularly in primary care. It plays a crucial role in shaping a predictive, personalized, and preventive future, making treating people a breeze. What are your thoughts?

Image: Depositphotos.com

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CHI, the Cleveland Health Institute – Cleveland Jewish News

Friday, April 24th, 2020

CHI, the Cleveland Health Institute, is dedicated to delivering health care with compassion, humility and integrity. We offer a full spectrum of services ranging from triaging acute care to diagnosing and managing chronic illness to practicing precise personalized medicine. We do this by emphasizing gene compatible lifestyles through predictive testing, preventive measures, personalized programs and patient education, enabling true partnership and full participation in creating health.

We have adopted the following in order to continue to care for our staff and CHI patients:

Telemedicine for scheduled consultations and follow up appointments

Secure email or fax for all administrative forms, patient histories and lab requisitions

Mail test kits with pre-paid labels to ship directly to labs

COVID-19 prevention recommendations and kit

Ship directly to our patients or provide curb side pickup for pharmaceutical grade targeted nutritional support for the immune system or to balance your neuroendocrine system to help with fear, anxiety, fatigue or depression

Emergency patient phone service 24/7

Upgrading CLE-CHI.com featuring an online store, contact us and ask your questions and the library of current relevant featured articles, like COVID 29 and Creating Maximum Immunity: A Vaccine will not Cure the Problem

Dr. Tonya S. Heyman, Medical Director

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Personalized Medicine Market Is Projected To Expand At A Robust CAGR Of +11% By 2026 Analysis by Industry Outlook, Estimated Size, Valuable Share,…

Friday, April 24th, 2020

Personalized medicine companies seek to combat the scourge of cancer through personalized care, driving interest in patient-specific treatments that require testing.

The global personalized medicine (PM) market size was estimated at USD 1.57 trillion in 2018 and is anticipated to expand at a CAGR of +11% during the forecast period.

Personalized medicine promises a paradigm shift in diagnosis and care delivery as the treatment is based on data leveraged from a holistic view of an individual patient. Proliferation of sequencing methodologies, especially Next Generation Sequencing (NGS), due to rising cost of sequencing and development of Human Genome Project in genomics field is expected to drive the market.

Get Sample Copy of this Report Includes @: https://www.theresearchinsights.com/request_sample.php?id=45572

Key players profiled in the report include GE Healthcare; Illumina, Inc.; Asuragen, Inc.; Abbott Laboratories; Dako A/S; Exact Science Corporation; Danaher Corporation (Cepheid, Inc.);Decode Genetics, Inc.;Genelex Corporation; Exagen Diagnostics, Inc.; Precision Biologics, Inc.; QIAGEN; Celera Diagnostics LLC; and Biogen, Inc.

The main goal for the dissemination of this information is to give a descriptive analysis of how the trends could potentially affect the upcoming future of Personalized Medicine market during the forecast period. This markets competitive manufactures and the upcoming manufactures are studied with their detailed research. Revenue, production, price, market share of these players is mentioned with precise information.

In the geographic segmentation, the regions such as North America, Middle East & Africa, Asia Pacific, Europe and Latin America are given major importance. The top key driving forces of Personalized Medicine market in every particular market is mentioned with restraints and opportunities. The restraints are also given a counter act which prove to be an opportunity for this market during the forecast period of 2020 to 2026 respectively.

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Personalized Medicine market is also explained to the clients as a holistic snapshot of a competitive landscape within the given competitive forecast period. A comparative analysis of regional players and segmentations, which helps readers get a better understanding of the areas and resources with better understanding.

This report provides:

1) An overview of the global market for Personalized Medicine Market and related technologies.

2) Analyses of global market trends, with data from 2017, estimates for 2018 and 2019, and projections of compound annual growth rates (CAGRs) through 2026.

3) Identifications of new market opportunities and targeted promotional plans for Global Personalized Medicine Market.

4) Discussion of research and development, and the demand for new products and new applications.

5) Comprehensive company profiles of major players in the industry.

Table of Content

1 Introduction

2 Market Research Tactics

3 Market Summary

4 Quality Market Insights

5 Personalized Medicine Market Overview

6 Regulatory Market Synopsis

7 Personalized Medicine Market, By Application Analysis:

8 Personalized Medicine Market, By product Analysis:

9 Personalized Medicine Market, By End User Analysis:

10 Personalized Medicine Market, By Geographic Region

11 Competitive Landscape

12 Company Profiles

You Can Browse Full Report: https://www.theresearchinsights.com/enquiry_before_buying.php?id=45572

About usThe Research Insights A global leader in analytics, research and advisory that can assist you to renovate your business and modify your approach. With us, you will learn to take decisions intrepidly. We make sense of drawbacks, opportunities, circumstances, estimations and information using our experienced skills and verified methodologies. Our research reports will give you an exceptional experience of innovative solutions and outcomes. We have effectively steered businesses all over the world with our market research reports and are outstandingly positioned to lead digital transformations. Thus, we craft greater value for clients by presenting advanced opportunities in the global market.

Contact usRobinSales manager+91-996-067-0000[emailprotected]

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Coronavirus: New plan would test 30 million per week and cost up to $100 billion, but ‘we’ve got to do it’ – CNBC

Friday, April 24th, 2020

Dr. Natalia Echeverri, (R) uses a swab to gather a sample from the nose of Sammy Carpenter, who said he is homeless, to test him for COVID-19 on April 17, 2020 in Miami, Florida.

Joe Raedle | Getty Images

An ambitious new plan to radically increase the number of coronavirus tests in the United States would see up to 30 million people screened each week and cost up to $100 billion to implement, a private foundation said Tuesday.

But that pricey effort for what one expert called "the largest public health testing in history" is necessary to stem the $300 billion to $400 billion in American economic losses each month as a result of the Covid-19 pandemic, the Rockefeller Foundation said.

It said the sooner coronavirus tests become much more widely available, the quicker the U.S. economy can start getting back to normal.

"We do have the capacity to do that, and we've got the resources to do that," said Dr. Michael Pellini, managing partner of health venture firm Section 32 and board member of the Personalized Medicine Coalition, who contributed to the foundation's new plan.

"Yes, it's ambitious, but at this point we've got to do it," Pellini said. "We have to fix testing in this country to enable our workforce to be deployed once again."

The plan comes amid calls by numerous experts and by CEOs to boost coronavirus testing to make sure businesses and social events can reopen safely without sparking second and third waves of virus outbreaks.

Amazon CEO Jeff Bezos, in a note to shareholders last week, wrote:Regular testing on a global scale, across all industries, would both help keep people safe and help get the economy back up and running."

Rockefeller Foundation President Dr. Rajiv Shah said: "We envision an America where everyone who needs a test can get one."

Rajiv Shah, president of The Rockefeller Foundation

Jason Alden | Bloomberg | Getty Images

"The Rockefeller Foundation believes that testing access is critical to scaling up our lives and economy," Shah said during a conference call with reporters Monday, when the total number of confirmed coronavirus cases reached more than 766,600, and the number of related fatalities approached 41,000.

He called the up-to-$100 billion cost of the effort "a modest investment," given the amount of monthly economic losses to the nation, as well as the societal costs related to the outbreak, which could end up increasing rates of suicides, alcoholism and domestic violence.

While the goal of the testing plan is to build a state-led national program, the foundation said funding for it likely can come from federal funds through agencies or grants.

The foundation itself is investing $15 million to help kick off the effort, which includes supporting cities that are among the first to adopt the plan's recommendations.

The Rockefeller Foundation,which is a major philanthropicdonorin areas including health and science, told CNBC last week that it had been in contact with the Trump administration, national groups of governors and mayors and leading American corporations as it prepared the recommendations.

The foundation's plan lays out a strategy for tripling, within the next eight weeks, the existing 1 million coronavirus test per week now being done by maximizing efficiencies in testing capacity.

After that, the foundation calls for multiplying those 3 million tests per week by at least 10 times to get to at least 30 million tests each week within the next six months.

Reaching that level will entail, among other things, removing regulatory barriers to approval for new point-of-care and home-test kits, and ensuring payments for labs performing the tests.

The Rockefeller plan says that more testing must be done to accurately capture the level of Covid-19 infections in the U.S.

"In Taiwan, there have been 132 tests conducted for every confirmed case. In Australia, the number is 62. In the United States, it is five," an executive summary of the plan notes.

"The unfortunate conclusion from this comparison is that the country's actual number of infections may be 15- to 20-times higher than the reported number of confirmed cases," the summary says.

"In short, the United States needs to increase the current level of 1 million tests per week by at least 10-fold and preferably 20-fold to adequately monitor the pandemic."

The plan notes that "given the commercial uncertainties inherent in this 10-fold increase in production" it is likely the federal government would need to activate the Defense Production Act to compel production of tests.

The plan calls for the creation of an Emergency Network for Covid-19 Testing to coordinate and underwrite the testing market with the use of leverage from public-private credit guarantees and other tools.

The second part of the plan envisions a paid Covid Community Healthcare Corps of 100,000 to 300,000 people to perform the high number of texts and conduct "contact tracing," or reaching out to individuals who have been around infected people and testing them as well.

The third part is a common data and digital platform to support the first two objectives by sharing "real-time analyses of resource allocations, disease tracing results and patient medical records."

New York University professor Paul Romer, who shared the 2018 Nobel Prize in economics, said the need for a huge increase in the number of coronavirus tests is driven not only by the need to stanch current economic losses but to prevent permanent damage to U.S. economic output when the country exits recession.

"Our future capacity to produce" is lower because of the economic cost of the pandemic "and it deteriorates with each month of delay," said Romer, who contributed to the Rockefeller Foundation's plan.

But Romer said the solution to the testing problem lies in the current system, which needs to be reorganized and incentivized financially to produce enough tests.

"We're really not constrained on the supply side, but we are constrained by what we're willing to pay," Romer said.

"We just need to pay people and let them have to option to provide these tests."

Romer made the analogy of the government saying that there needed to be 300 million soft drinks made one day.

No one would step up to make the drinks for free, he suggested, but they would be made if the government agreed to pay for them.

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Coronavirus: New plan would test 30 million per week and cost up to $100 billion, but 'we've got to do it' - CNBC

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