Dr. Don Brown is the most successful serial software entrepreneur in the Midwest. His first company was acquired by EDS in 1986. He founded Software Artistry in 1988 which became the first software company in Indiana ever to go public and was later acquired by IBM for $200 million. Don then founded and served as CEO of Interactive Intelligence which went public in 1999 and was acquired by Genesys Telecommunications Laboratories in 2016 for $1.4 billion. Read his full bio.

Interview with Don Brown of LifeOmic

Q: What need is LifeOmic addressing?

A: Precision Medicine requires the aggregation of huge data sets, including data representing individual patients from the level of their genomes all the way up through various levels of their phenomes. LifeOmic has created a cloud-based platform that can combine such data for millions of patients, including data from electronic medical records to genetic tests, diagnostic images and even mobile fitness tracker data. Powerful machine learning capabilities allow LifeOmic customers such as healthcare providers and medical researchers to identify new biomarkers, analyze trends and even predict health problems before they are clinically diagnosed.

Q: What are the products and/or services LifeOmic offers/develops to address this need? What makes LifeOmic unique?

A: In addition to a cloud platform capable of aggregating, indexing and analyzing all types of patient information, LifeOmic has created a complementary mobile app called LIFE Extend for population health and personal wellness. With this app, individuals can combine telemetry data from fitness trackers and other mobile devices with their medical records, genetic tests and other health information. LifeOmic’s “AI in the sky” can continuously monitor each individual, calculate a precise “biological age,” and offer personalized recommendations to realize the potential of precision health. The LIFE Extend app also leverages gamification and social interaction to make it fun to use. With LIFE Extend, LifeOmic can offer providers and researchers direct access to patients, many of whom are willing to share all of their medical information to further research.

Q: What is your role at LifeOmic and what excites you about your work?

A: I’m the founder and CEO of LifeOmic. After earning an MD and a graduate degree in computer science, I spent three decades building large software companies that had nothing to do with the life sciences. With the sale of my most recent company – Interactive Intelligence (NASDAQ:ININ) for $1.4B in 2016, I was finally free to assemble a world class team spanning cloud software development, machine learning, security, genetics, bioinformatics, cancer and mobile apps in forming LifeOmic. After 18 months working largely in stealth mode with disease teams at the Indiana University School of Medicine, we’re finally ready to show off what our nearly 50 scientists and engineers have created.

Q: When thinking about LifeOmic and the domain LifeOmic is working in, what are some of the recent breakthroughs that are propelling the field forward and how will they impact healthcare?

A: LifeOmic has been fortunate to lie at the nexus of three exponential trends – genomics, cloud computing and machine learning. For the first time in history it’s possible to assemble a comprehensive view of a human being from their germline whole genome sequence through various levels of phenotype (gene expression, molecular biomarkers, physiologic measurements, etc.). With cloud computing and machine learning, we can aggregate this information across millions of people and tease out hidden trends and associations. The field has been talking about “personalized” or “precision” medicine for a long time. Now we can finally deliver exactly that.

Q: What are the short-term challenges that LifeOmic and its peers are facing?

A: Perhaps one of the biggest challenges is keeping up with the explosion of new information – gene variations and their pathologic significance, protein-protein interactions, signaling pathways, etc. At LifeOmic, we’ve invested heavily in building a feature codenamed Gnosis that continuously pulls information from public data sets all over the world so that they can be used within our platform. This allows clinicians and researchers to understand patient information within the context of the latest knowledge available – whether for understanding which mutations are driving a patient’s cancer or which combination of approved small molecules might inhibit an overactive signaling pathway.

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

A: LifeOmic, we think there’s a huge need for a cloud-based platform that can inexpensively store huge amounts of patient data and apply the latest machine learning tools to it. That’s what we’ve built with the Precision Health Cloud. By taking an API-first approach, we’ve tried to make the platform simple to get started with, easy to access and extremely extensible. Our cloud has become the lynchpin of the Indiana University Precision Health Initiative. We’re hoping to develop additional collaborations to help make the tremendous promise of precision medicine a reality.

Interview with Gabriel Bien-Willner of Palmetto GBA

Q: What does your role entail as the director of the MolDX program at Palmetto GBA?

A: The job directing MolDX is multifaceted; first and foremost the MolDX program is responsible for assessing molecular diagnostic tests on the market and makes coverage and pricing determinations for such tests and technology. This is usually done through local coverage determination policies or technical assessments.

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Interview with Peter Marks of FDA

Q: The CBER’s Regenerative Medicine Advanced Therapy Designation program has been very successful, with about 100 requests for designation in the two years of its existence. Can you please tell us about the program and how it was put together?

A: The Regenerative Medicine Advanced Therapy (RMAT) Designation program came into being as part of the 21st Century Cures Act that was signed into law on December 13, 2016.

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Interview with Calum MacRae of Harvard Medical School

Q: What patient data do we need to better understand the underlying cause of disease and how to prevent it?

A: Medicine at present is highly underdetermined and data poor. To be precise, one must be comprehensive, so medicine (with our consent) will use not only what we currently conceive of as biomedical information, but also data from across our lives.

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Headlines from PMWC 2019 Silicon Valley

A big ‘Thank You’ to all of our presenters and attendees for celebrating 10 years of precision medicine progress with us! PMWC 2019 Silicon Valley was attended by 2000 participants from 35 countries, which included over 400 speakers in 5 parallel tracks!

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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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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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