Jul 25, 2018 | Digital Pathology, Instruments & Equipment, Laboratory Instruments & Laboratory Equipment, Laboratory Management and Operations, Laboratory News, Laboratory Operations, Laboratory Pathology, Laboratory Testing, Management & Operations
While Apple recently debuted features to bring personal health records and protected health information to its mobile devices, Microsoft shuttered HealthVault in favor of focusing on AI-powered healthcare advances
As clinical laboratories and anatomic pathology groups know, lab testing data comprise more than 70% of the average patient’s health record. Thus, creating a universal platform on which consumers can share or review health information and medical histories with caregivers is a critical, yet elusive goal for most major tech companies, including tech giants Apple (Nasdaq:AAPL) and Microsoft (Nasdaq:MSFT).
Apple has big plans for patient health records and is working to bring protected health information (PHI) and healthcare advice to iPhones, iPads, and Apple Watch. Meanwhile, Microsoft is reducing its footprint in the mobile device healthcare market. Instead, it appears to be banking on its Artificial Intelligence (AI) platform. How these two diverging paths play out could have ramifications for the pathology and clinical laboratory industries.
HealthVault Insights versus AI versus Apple Health Mobile Apps
Launched in February 2017, Microsoft’s HealthVault Insights combined machine learning and AI with patients’ PHI and mobile activity tracking. The intent was to create an accessible, interactive platform for patients to monitor important health trends.
However, as of January 2018, Microsoft pulled the mobile app from Android, iOS, and Windows App stores. While summary information that draws on previously collected data is still available from the HealthVault website, new data and detailed insights are no longer available.
“We launched HealthVault Insights as a research project … with the goal of helping patients generate new insights about their health,” states Microsoft’s HealthVault Insights website. “Since then, we’ve learned a lot about how machine learning can be used to increase patient engagement and are now applying that knowledge to other projects.”
According to ZDNet, the closing of HealthVault Insights does not impact the Microsoft Health platform or the HealthVault patient-records system.
However, Microsoft’s shuttering of HealthVault Insights, and Google’s shuttering its Google Health platform in 2012, does seem to make Apple the last major tech company developing apps target at healthcare consumers designed to help them exchange private health information with caregivers through mobile devices. Dark Daily reported on Apple’s update earlier this year. (See, “Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients,” March 21, 2018.)
AI Will ‘Dramatically Transform Healthcare’
Shuttering HealthVault highlighted Microsoft’s shift away from consumer-facing health efforts and toward assisting medical laboratories, physicians, and research groups discover and implement treatments driving modern personalized medicine.
In a Microsoft blog post, Peter Lee, Corporate VP of Microsoft Healthcare, stated that Microsoft hopes its Healthcare NeXT platform will “dramatically transform healthcare, will deeply integrate Greenfield research and health technology product development, as well as establish a new model at Microsoft for strategic health industry partnerships.”
HealthVault Insights was one of several projects in Microsoft’s Healthcare NeXT initiative. Run by Microsoft’s AI and Research Group and partnering with major healthcare and research facilities across the country, other projects in the Healthcare NeXT initiative include:
Speaking with Business Insider, Lee noted that healthcare is becoming a “very large business” for Microsoft. “We don’t talk publicly about the dollars, but it’s large,” he concluded.
Microsoft’s EmpowerMD website states the eventual goal is to use the system to connect conversations with the growing trove of healthcare data available. “Our long-term vision is a learning system that incorporates data from longitudinal medical records, medical devices, genomics, population health, research papers, and more.”
AI a ‘Sleeping Giant for Healthcare’
“AI can be viewed as a sleeping giant for healthcare,” Eric Horvitz, PhD, Director of Microsoft Research Labs, told Nasdaq, when discussing Microsoft’s view of technology and healthcare. “AI methods show promise for multiple roles in healthcare. [This includes] inferring and alerting about hidden risks of potential adverse outcomes, selectively guiding attention, care, and interventional programs where [they are] most needed and reducing errors in hospitals.”
One such project involves a strategic partnership with the University of Pittsburg Medical Center (UPMC), which is a “$13-billion Pittsburgh-based system, comprising more than 25 hospitals, a three-million-member health plan, and 3,600 physicians, [that] will be a core partner in our efforts to improve healthcare delivery through a series of projects, beginning with a focus on transforming clinician empowerment and productivity,” according to Microsoft.
“Despite UPMC’s efforts to stay on the leading edge of technology, too often our clinicians and patients feel as though they’re serving the technology rather than the other way around. With Microsoft, we have a shared vision of empowering clinicians by reducing the burden of electronic paperwork and allowing the doctor to focus on the sacred doctor-patient relationship,” Steven D. Shapiro, MD (above), Chief Medical and Scientific Officer of UPMC and President of UPMC’s Health Services division, stated in the Microsoft blog. [Photo copyright: University of Pittsburg Medical Center.]
Medical laboratories and anatomic pathology groups may soon contribute health information to databases that one day will power AI systems. These trends highlight opportunities to both educate physicians on the tools available to utilize patient health data in an effective manner, and on new platforms that clinical laboratories could use to further streamline operations, reduce costs, and boost efficiency.
—Jon Stone
Related Information:
How Microsoft Is Using Advanced Technology in Healthcare
Microsoft Scrapping Personal Health Data App-Based Research Project
An Update on HealthVault Insights
How Microsoft’s Top Scientists Have Built a Big Business in Hacking Healthcare and Helped a Lot of People Along the Way
Microsoft Abandons Its Own HealthVault App: Is This Part of Something Larger?
Here’s How Microsoft Is Investing in AI
Microsoft Rolls Out More AI-Infused Healthcare Services, Software
Microsoft and Partners Combine the Cloud, AI, Research and Industry Expertise to Focus on Transforming Health Care
In Healthcare Push, Microsoft Launches Genomics Service on Azure Cloud
Apple’s Update of Its Mobile Health App Consolidates Data from Multiple EHRs and Makes It Easier to Push Clinical Laboratory Data to Patients
Nov 20, 2017 | Laboratory Management and Operations, Laboratory News, Laboratory Operations, Laboratory Pathology, Laboratory Testing, Management & Operations
FDA is streamlining how new diagnostic tests are approved; encourages IVD companies to focus on ‘qualifying biomarkers’ in development of new cancer drugs
It is good news for the anatomic pathology profession that new insights into the human immune system are triggering not only a wave of new therapeutic drugs, but also the need for companion diagnostic tests that help physicians decide when it is appropriate to prescribe immunotherapy drugs.
Rapid advances in precision medicine, and the discovery that a patient’s own immune system can be used to suppress chronic disease, have motivated pharmaceutical companies to pursue new research into creating targeted therapies for cancer patients. These therapies are based on a patient’s physiological condition at the time of diagnosis. This is the very definition of precision medicine and it is changing how oncologists, anatomic pathologists, and medical laboratories diagnose and treat cancer and other chronic diseases.
Since immunotherapy drugs require companion diagnostic tests, in vitro diagnostic (IVD) developers and clinical laboratory and pathology group leaders understand the stake they have in pharma companies devoting more research to developing these types of drugs.
New cancer drugs combined with targeted therapies would directly impact the future of anatomic pathology and medical laboratory testing.
Targeted Therapies Cost Less, Work Better
Targeted therapies focus on the mechanisms driving the cancer, rather than on destroying the cancer itself. They are designed to treat cancers that have specific genetic signatures.
One such example of a targeted therapy is pembrolizumab (brand name: Keytruda), a humanized antibody that targets the programmed cell death 1 (PD-1) receptor. The injection drug was primarily designed to treat melanoma. However, the FDA recently expanded its approval of Keytruda to include treatment of tumors with certain genetic qualities, regardless of the tumor’s location in the body. It was the first time the FDA has expanded an existing approval.
In a Forbes article, David Shaywitz, MD, PhD, noted that pembrolizumab had “an unprecedented type of FDA approval … authorizing its use in a wide range of cancers.” Shaywitz is Chief Medical Officer of DNAnexus in Mountain View, Calif.; Visiting Scientist, Department of Biomedical Informatics at Harvard Medical School; and Adjunct Scholar, American Enterprise Institute.
Cancers with high mutational burdens respond to the therapy because they are more likely to have what Shaywitz calls “recognizable novel antigens called mutation-associated neoantigens, or MANAs.” Such cancers include melanomas, non-small cell lung cancer, some rare forms of colorectal cancers, and others.
Such therapies require genetic sequencing, and because sequencing is becoming faster and less expensive—as is the analysis of the sequencing—the information necessary to develop targeted therapies is becoming more accessible, which is part of what’s motivating pharma research.
Biomarkers and Traditional versus Modern Drug Testing and Development
At the same time pharma is developing new immunotherapies, the FDA is recognizing the benefit of faster approvals. In an FDA Voice blog post, Janet Woodcock, MD, Director of the Center for Drug Evaluation and Research (CDER) at the FDA, wrote, “In the past three years alone, [we have] approved more than 25 new drugs that benefit patients with specific genetic characteristics … and we have approved many more new uses—also based on specific genetic characteristics—for drugs already on the market.”
In his Forbes article, Shaywitz notes that pembrolizumab’s development foreshadows a “More general trend in the industry,” where the traditional phases of drug testing and development in oncology are becoming less clear and distinct.
Along with the changes to drug development and approval that precision medicine is bringing about, there are also likely to be changes in how cancer patients are tested. For one thing, biomarkers are critical for precision medicine.
However, pharmaceutical companies have not always favored using biomarkers. According to Shaywitz, “In general, commercial teams tend not to favor biomarkers and seek to avoid them wherever possible.” And that, “All things being equal, a doctor would prefer to prescribe a drug immediately, without waiting for a test to be ordered and the results received and interpreted.”
In July, just weeks after expanding its approval for Keytruda, the FDA approved a Thermo Fisher Scientific test called the Oncomine Dx Target Test. A Wired article describes it as “the first next-generation-sequencing-based test” and notes that it “takes a tiny amount of tumor tissue and reports on alterations to 23 different genes.”
Thermo Fisher’s Oncomine DX Target Test (above) is the first multi-drug next-generation sequencing test approved by the FDA. The test is a companion diagnostic for lung-cancer drugs made by Novartis and Pfizer. (Caption and photo copyright: Thermo Fisher Scientific.)
Unlike pembrolizumab, however, the Oncomine Dx Target Test did not enjoy fast-track approval. As Wired reported, “Getting the FDA’s approval took nearly two years and 220,000 pages of data,” in large part because it was the first test to include multiple genes and multiple drugs. Thus, according to Joydeep Goswami, PhD, President of Clinical Next Generation Sequencing at Thermo Fisher, “That put the technology under extraordinary scrutiny.”
FDA Encouraging Use of Biomarkers in Precision Medicine Therapies
The FDA, however, is taking steps to make that process easier. Woodcock noted in her FDA Voice blog post that the agency is actively encouraging drug developers to “use strategies based on biomarkers.” She added that the FDA currently “works with stakeholders and scientific consortia in qualifying biomarkers that can be used in the development of many drugs.”
Additionally, in a column he penned for Wired, Robert M. Califf, MD, former Commissioner of the FDA, states that the organization has “begun to lay out a flexible roadmap for regulatory approval.” He notes, “Given the complexity of NGS [next-generation-sequencing] technology, test developers need assurance as well, and we’ve tried to reduce uncertainty in the process.”
Regulations that assist IVD developers create viable diagnostics, while ensuring the tests are accurate and valid, will be nearly as important in the age of precision medicine as the therapies themselves.
All of these developmental and regulatory changes will impact the work done by pathologists and medical laboratories. And since precision medicine means finding the right drug for the individual patient, then monitoring its progress, all of the necessary tests will be conducted by clinical laboratories.
Faster approvals for these new drugs and tests will likely mean steep learning curves for pathologists. But if the streamlined regulation process being considered by the FDA works, new immunoassay tests and targeted therapies could mean improved outcomes for cancer patients.
—Dava Stewart
Related Information:
How Precision Medicine, Immunotherapy Are Influencing Clinical Trial Design for Cancer Drugs
Pharma Cooperates to Achieve Precision Medicine
The Startling History Behind Merck’s New Cancer Blockbuster
Two Recent Scientific Advances Underscore an Encouraging Future for Precision Medicine at FDA
Fast, Precise Cancer Care Is Coming to a Hospital Near You
Biomarker Trends Are Auspicious for Pathologists and Clinical Laboratories
Precision Healthcare Milestone Reached as Food and Drug Administration Clears New Multi-Marker Medical Laboratory Test to Detect Antibiotic-Resistant Bacteria
Genetic Tests and Precision Medicine Start to Win Acceptance by Some Payers; Pathologists and Clinical Laboratories Have Opportunity as Advisors
