Dr. Michael D. Abramoff, MD, PhD, is an ophthalmologist, computer scientist and entrepreneur. He is Founder and CEO of IDx, the first company ever to receive FDA clearance for an autonomous AI system. In this capacity, as an expert on AI in healthcare, he has been invited to brief the US Congress, the White House and the Federal Trade Commission. He continues to treat patients with retinal disease and trains medical students, residents, and fellows, as well as engineering graduate students at the University of Iowa. Read his full bio.

Interview with Michael Abramoff of IDx

Q: Artificial intelligence (AI) techniques have sent vast waves across healthcare, even fueling an active discussion of whether AI doctors will eventually replace human physicians in the future. Do you believe that human physicians will be replaced by machines in the foreseeable future? What are your thoughts?

A: There will always be a need for human physicians, if only for the often raised issue of the need for human interaction. Automation is best suited for narrow, well-defined diagnostic, therapeutic and surgical tasks. The more well-defined the task at hand in terms of scientific evidence, pathophysiological understanding, and cost-effectiveness, the easier it is to manage with automation. For example, let’s say you have one of these rare diseases that affects only 20 people in the world – it is hard to foresee a case for automating the diagnosis or management of this disease, except if there is a great amount of overlap with similar diseases. There are many such rare diseases that are best suited for diagnosis by a human who has more flexibility than a machine in terms of changing the diagnostic and therapeutic process based on new evidence.

Q: Can you provide some use cases that have already successfully demonstrate the value of AI/Machine Learning in healthcare?

A: In order for healthcare to truly unlock the value of AI and machine learning, we need to pursue autonomous use cases. We’ve seen many assistive use cases proposed since it’s an easier path toward implementation, but I am not fully convinced that assistive applications can have a tangible impact on healthcare. It is hard to prove their overall performance in the healthcare system given the high variability of the individual physicians that are being assisted. Autonomous AI is really the only way to truly move the needle for quality, affordability, and healthcare productivity. To date, IDx is the only company that has successfully implemented autonomous AI in a real world clinical setting.

Q: What areas in healthcare will benefit the most from AI/Machine Learning applications and when will that be?

A: We’ve seen a lot of AI being used to manage healthcare data and analyze patient records, which is great and needed, but the most exciting potential for AI lies in diagnostic and therapeutic medicine. We are likely to see more applications developed for prevalent diseases, where we understand the disease well and where there are well-defined and systematic approaches to treatment, like diabetic retinopathy. That time is now; it’s just a matter of applying the best practices we used to develop IDx-DR for other disease states.

Q: What are some of the challenges to realize AI/Machine learning in healthcare?

A: The business model, the use case, and safe and ethical implementation. The technology is there already, but how do you translate it into practice? Not all use cases make much sense from a clinical, cost-effectiveness, or business model standpoint. And, how do you safely implement?

Q: How close are we with successfully using AI for the purpose of mining big data?

A: The question that needs to be answered first is what problem you are trying to solve: are we doing science and trying to find ideas for new hypotheses? Don’t forget that the replication crisis we are seeing right now in science just about everywhere, is due in great part to the greying of the zone between hypothesis generation – for which mining is appropriate – and hypothesis testing – for which mining is absolutely inappropriate and has had harmful effects. Or are we trying to build AI systems that need to be evaluated for their effectiveness?

Q: What is your outlook or vision for use of AI/Machine Learning in healthcare?

A: AI has the potential to transform the quality, accessibility, and affordability of healthcare. I imagine a time when people can complete much of their standard, routine healthcare needs by walking around the corner to their nearest retail clinic, where a large part of the diagnostic and therapeutic process is performed by AI, and the human interaction remains intact.

Q: If AI is not quite there yet, what is needed to get us there?

A: It is here now; there is currently an FDA-cleared autonomous AI in use (ours!). The opportunity is great, but the AI community needs to proceed carefully to avoid the pushback that we are seeing on autonomous vehicles. There are legal and ethical considerations, and while we need to avoid needless barriers in the way of progress, we absolutely need to put the patient’s safety first before implementing new AI.

Q: Is there anything you would like to share with the PMWC audience?

A: Transparency is key for those working in medical AI in order for patients and physicians to trust this technology. Being transparent about how the algorithms work, how they were developed, how they were evaluated, how the training data was obtained is essential. Explainability – the ability to understand how the algorithm made its decision – is part of that.

Interview with Ken Bloom of Ambry Genetics

Q: Tell us more about your organization/company. What patient population are you serving and which services are you specializing in?

A: Ambry Genetics is a recognized leader in high quality complex genetic testing. We seek to find the genomic cause or contributors to rare diseases, abnormal phenotypes and hereditary disorders.

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Interview with Lee Pierce of Sirius Computer Solutions

Q: What is the state of big data and analytics in healthcare, and how to best use the reams of data available?

A: More than ever, Healthcare organizations are achieving measurable value through use of their data and analytics assets. There is more raw material available than ever to create value. This raw material is the data flowing from internal systems and applications and also from devices and systems external to healthcare organizations.

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Interview with Anita Nelsen of PAREXEL

Q: There are various new, emerging technologies that bring us closer towards a cure for life-threatening disorders such as cancer, HIV, or Huntington’s disease. Prominent examples include the popular gene editing tool CRISPR or new and improved cell and gene therapies. By when can we expect these new technologies being part of routine clinical care?

A: Today’s emerging technologies are making the promise of individualized treatment a reality.

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Interview with Ilan Kirsch of Adaptive Biotechnologies

Q: The Nobel Prize in Medicine was awarded recently to James Allison and Tasuku Honjo for their work on unleashing the body’s immune system to attack cancer, a breakthrough that has led to an entirely new class of drugs and brought lasting remissions to many patients who had run out of options. The Nobel committee hailed their accomplishments as establishing “an entirely new principle for cancer therapy.” What is your first-hand experience the impact that those new drugs had on patients?

A: For decades cancer was viewed as solely a cell-autonomous condition.

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BMS buys Celgene | Lilly buys Loxo Oncology – Does this Signal a Return to Strong Deal-Making Activities in 2019?

Bristol-Myers Squibb’s blockbuster $74B deal to buy Celgene creates an oncology powerhouse amid industrywide excitement about the rapidly evolving science and explosive growth of the sector. The agreement could signal a return to deal-making for the pharmaceutical industry in the $133B global oncology therapeutics market.

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Interview with Gini Deshpande of NuMedii

Q: What need is NuMedii addressing?

A: NuMedii, has been pioneering the use of Big Data, artificial intelligence (AI) and systems biology since 2010 to accelerate the discovery of precision therapies to address high unmet medical needs. Artificial Intelligence approaches are a natural fit to harness Big Data as they provide a framework to ‘train’ computers to recognize patterns and sift through vast amounts of new and existing genomic

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Interview with Minnie Sarwal of UCSF

Q: Genomic medicine is entering more hospitals and bringing with it non-invasive technology that can be used to better target and treat diseases. What are some key milestones that contributed to this trend?

A: Completion of complete sequence data from the human genome project, and the advances in proteomic, microRNA and epigenetic assays added a layer of pathway biology to the understanding of human diseases.

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Interview with Shidong Jia of Predicine

Q: Once sequencing has been validated as a clinical solution via trusted workflows, and coinciding with the technological developments driving costs lower, we can expect accelerated human genome profiling for clinical Dx. How soon, do you think, will we see accelerated growth and what can we expect?

A: We will see accelerated human genome profiling for clinical Dx in 2019 and the coming years as more biomarker-based cancer drugs are gaining approval.

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Interview with Iya Khalil of GNS Healthcare

Q: Artificial intelligence (AI) techniques have sent vast waves across healthcare, even fueling an active discussion of whether AI doctors will eventually replace human physicians in the future. Do you believe that human physicians will be replaced by machines in the foreseeable future? What are your thoughts?

A: I think that there’s a lot of speculation and uncertainty around AI, but I don’t foresee a time when we won’t need physicians.

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Interview with Ilya Michael Rachman of Immix Biopharma Inc.

Q: The Nobel Price in Medicine was awarded recently to James Allison and Tasuku for their work on unleashing the body’s immune system to attack cancer, a breakthrough that has led to an entirely new class of drugs and brought lasting remissions to many patients who had run out of options. The Nobel committee hailed their accomplishments as establishing “an entirely new principle for cancer therapy.” Besides CAR T-cell therapy what do you think next generation immunotherapies will look like to successfully combat cancer?

A: The next generation of immunotherapies will build on the insights discovered by immunologists like James Allison and Tasuku Honjo and extend them to modify the body’s response to tumors.

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Join me to Kick off PMWC Silicon Valley in the Santa Clara Convention Center, Focusing on Every Element of Precision Medicine

My team worked in collaboration with Bill Dalton, Kim Blackwell, Atul Butte / India Hook Barnard, Nancy Davidson and Sharon Terry to create a program that touches every component of precision medicine while bringing together all of its key stakeholders. Leading participating institutions including Stanford Health Care, UCSF, Duke Health, Duke University, John Hopkins University, University of Michigan and more will share their learnings and experiences and their successes and challenges, as they make precision medicine the new standard of care for all.

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Interview with Dominic Eisinger of Myriad RBM

Q: The Nobel Price in Medicine was awarded recently to James Allison and Tasuku for their work on unleashing the body’s immune system to attack cancer, a breakthrough that has led to an entirely new class of drugs and brought lasting remissions to many patients who had run out of options. The Nobel committee hailed their accomplishments as establishing “an entirely new principle for cancer therapy.” Besides CAR T-cell therapy what do you think next generation immunotherapies will look like to successfully combat cancer?

A: Next generation immunotherapies include CAR-Ts, TCRs, cancer vaccines, ADCs, bi-specific antibodies, and checkpoint inhibitors.

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2018 Year in Review Milestones: Stakeholder Partnerships Carving Precision Medicine’s Future

2018 has clearly been a year when significant opportunities intersected with strong partnerships to yield advancements. In particular, the clinical advancements that were realized are a testimony to stakeholders working together to deliver on promises affecting major aspects of precision medicine. 2018 has clearly been a year when significant opportunities intersected with strong partnerships to yield advancements.

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Interview with Lisa Alderson of Genome Medical

Q: Tell us a little bit about Genome Medical. What market need is Genome Medical addressing and how?

A: Genome Medical is a telegenomics company that is bridging the gap between available, genetic expertise and the clinical application of genomics.

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Interview with Nasir Bhanpuri of Virta Health

Q: What need is Virta Health addressing?

A: Virta Health delivers an evidence-based treatment to safely and sustainably reverse type 2 diabetes without the use of medications or surgery. In the U.S. alone, type 2 diabetes and prediabetes affects 115 million people, and the economic burden is well-over $300 billion and growing.

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Johns Hopkins
University Of Michigan

The Precision Medicine World Conference (PMWC), in its 17th installment, will take place in the Santa Clara Convention Center (Silicon Valley) on January 21-24, 2020. The program will traverse innovative technologies, thriving initiatives, and clinical case studies that enable the translation of precision medicine into direct improvements in health care. Conference attendees will have an opportunity to learn first-hand about the latest developments and advancements in precision medicine and cutting-edge new strategies and solutions that are changing how patients are treated.

See 2019 Agenda highlights:

  • Five tracks will showcase sessions on the latest advancements in precision medicine which include, but are not limited to:
    • AI & Data Science Showcase
    • Clinical & Research Tools Showcase
    • Clinical Dx Showcase
    • Creating Clinical Value with Liquid Biopsy ctDNA, etc.
    • Digital Health/Health and Wellness
    • Digital Phenotyping
    • Diversity in Precision Medicine
    • Drug Development (PPPs)
    • Early Days of Life Sequencing
    • Emerging Technologies in PM
    • Emerging Therapeutic Showcase
    • FDA Efforts to Accelerate PM
    • Gene Editing
    • Genomic Profiling Showcase
    • Immunotherapy Sessions & Showcase
    • Implementation into Health Care Delivery
    • Large Scale Bio-data Resources to Support Drug Development (PPPs)
    • Microbial Profiling Showcase
    • Microbiome
    • Neoantigens
    • Next-Gen. Workforce of PM
    • Non-Clinical Services Showcase
    • Pharmacogenomics
    • Point-of Care Dx Platform
    • Precision Public Health
    • Rare Disease Diagnosis
    • Resilience
    • Robust Clinical Decision Support Tools
    • Wellness and Aging Showcase

See 2019 Agenda highlights:

    • Five tracks will showcase sessions on the latest advancements in precision medicine which include, but are not limited to:
      • AI & Data Science Showcase
      • Clinical & Research Tools Showcase
      • Clinical Dx Showcase
      • Creating Clinical Value with Liquid Biopsy ctDNA, etc.
      • Digital Health/Health and Wellness
      • Digital Phenotyping
      • Diversity in Precision Medicine
      • Drug Development (PPPs)
      • Early Days of Life Sequencing
      • Emerging Technologies in PM
      • Emerging Therapeutic Showcase
      • FDA Efforts to Accelerate PM
      • Gene Editing / CRISPR
      • Genomic Profiling Showcase
      • Immunotherapy Sessions & Showcase
      • Implementation into Health Care Delivery
      • Large Scale Bio-data Resources to Support Drug Development (PPPs)
      • Microbial Profiling Showcase
      • Microbiome
      • Neoantigens
      • Next-Gen. Workforce of PM
      • Non-Clinical Services Showcase
      • Pharmacogenomics
      • Point-of Care Dx Platform
      • Precision Public Health
      • Rare Disease Diagnosis
      • Resilience
      • Robust Clinical Decision Support Tools
      • Wellness and Aging Showcase
  • Luminary and Pioneer Awards, honoring individuals who contributed, and continue to contribute, to the field of Precision Medicine
  • 2000+ multidisciplinary attendees, from across the entire spectrum of healthcare, representing different types of companies, technologies, and medical centers with leadership roles in precision medicine
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