We had a chance to sit down with Dr. Slava Akmaev – who will be speaking at our upcoming PMWC 2018 Silicon Valley conference this coming January – to discuss his vision of “why data-driven research is important, and how machine learning and AI will advance precision medicine in the years to come”.

To learn more about the different AI and machine learning sessions planned for PMWC 2018 SV, see the full agenda here. Furthermore, we have scheduled an AI Company Showcase which will take place on Monday January 22 and will provide a 15-minute time slot for selected AI companies. Presenting companies display their latest developments and innovations in the critical areas of data-driven patient care, population health, healthcare process automation, or AI-enabled drug discovery and development. Confirmed Presenting Companies include AI Cure, Altoida, BayLabs, CureMetrix, doc.ai, Good AI Lab, Insilico, Lunit, Medimsight, Mendel.ai, Numerate, NuMedii, Owkin, PathAI, PhenoMX, Physiq, quibim, SkinVision, Suggestic, twoXAR, UCSF, Viome, and Zebra Medical Vision.

Q: Berg provides the Berg Interrogative Biology platform. Can you tell us more about this platform and its AI Analytics? What need is it addressing? What kind of programs are you running using the Berg platform?

A: The Interrogative Biology® platform offers a new direction in drug discovery by juxtaposing disease biology and normal cellular (homeostatic) biology, which is comprised of characteristic signatures including genes, proteins, lipids, metabolites and their network of expression. Interrogative Biology® is a novel automated approach to biopharma research. It is a top-down artificial intelligence driven workflow for conducting studies in molecular mechanisms. The platform has also been designed to pinpoint key regulatory mechanisms and potential intervention points in an automated fashion. BERG is the pioneer in using artificial intelligence in pharmaceutical research. Over a decade, BERG has developed an extensive therapeutics and diagnostics pipeline by applying Interrogative Biology® in disease areas such as cancer, diabetes, and neurology. In parallel, BERG has validated this method through rigorous and expert guided experimental work in its in vitro laboratory. The platform’s advantage is in rapid discovery of new therapeutic targets and biomarkers. Additionally, BERG utilizes the platform for effective patient stratification in its clinical programs. Interrogative Biology® is designed for discovery of efficacy and safety biomarkers that help BERG succeed in clinical trials by selecting the right patient populations and shortening the approval process.

Q: Berg addresses big data challenges. What type of data do you focus on and what solutions do you offer to derive actionable insights from these data?

A: BERG is engaged in projects that span the entire spectrum of healthcare data sources. In drug development and diagnostics, BERG uses the artificial intelligence platform bAIcis® for integration and analysis of high throughput molecular data, phenotypic data and clinical trial records. In digital health, the company works with patient information such as claims data, physician notes and records, pharmacy records, and hospital data. With its partners, BERG analyzes extensive phase III clinical trial data and real world outcomes. The bAIcis® platform integrates data across the continuum and derives insight in a data source unbiased way. bAIcis® is a Bayesian artificial intelligence inference software capable of operating with thousands of features across millions of observations. It learns feature relationships directly from the variability in the data and provides concise and straightforward insight from network topology analyses.

Q: Why is data-driven research important, and how will machine learning and AI advance precision medicine in the years to come? What types of trends should we be on the look-out for?

A: Data-driven research brings another dimension to pharma R&D. By initiating de-novo discovery and research programs, BERG is able to chart largely novel mechanisms of disease progression and on-set. Whether it’s molecular data or data that is more outcomes centered, generating therapeutic and patient management hypotheses outside of common, community thinking is of tremendous benefit. It takes the company away from costly in-licensing agreements and positions our R&D programs in a context of novel intellectual property unencumbered by other participants in the space. From a scientific and clinical perspective, BERG has done distinguished work in oncology and neurodegeneration. Our research programs go well beyond the typical therapeutic framework, they target cancer metabolism and unfamiliar molecular mechanisms in Parkinson’s and Alzheimer’s diseases.

Q: How is Berg addressing the industry need to provide better (or the right) treatment for the right person?

A: BERG is committed to Precision Medicine. We use Interrogative Biology® extensively in clinical development with the aim of the discovery of patient stratification molecular biomarkers. The biomarker discovery process starts early on in the Phase I clinical trials where BERG collects multiple time points of biological fluids from the patients in the trial. The findings are validated in Phase II studies leading to a set of validated complementary molecular and digital diagnostics. These signatures are used for patient stratification in Phase III. This strategy allows BERG to pinpoint the right patient population for the therapy before the drug is on the market.

Q: Where should industry and healthcare resources be invested in for better disease understanding?

A: From my perspective, there are three areas that I hope will get more attention from the investors and pharma executives. One is data diversity. To better our disease understanding, the industry R&D needs to look at molecular data more comprehensively. It is important to remember that cellular biochemical reactions at large define normalcy. When we study disease phenotype and its molecular inner workings, careful assessment of changes in the levels of the proteins, metabolites, and lipids provides critical hypotheses and intervention points for drug development. This leads us to the second point of data quality. Extending scientific and technology resources to enhance the quality of public and private data repositories would go a long way in solidifying the baseline foundation of disease understanding at the molecular level. Thirdly are the analytics tools and methods. BERG has invested in development of a Bayesian AI platform bAIcis®. Others in the industry are actively engaged in applying neural network algorithms to imaging and clinical data. There is room for other approaches that will engage complex mathematics in life sciences applications.

Q: When it comes to working with data in healthcare, what are some of the challenges on our way to positively affect real-world outcomes, and how can we overcome those?

A: Achieving proof points is a labor-intensive and lengthy task in healthcare. When BERG started on this path almost a decade ago, typical feedback and questions we received were about the power of the BERG approach and substantive use cases for Interrogative Biology®. Developing a successful drug from a de novo discovery takes several years if not more; validating a novel diagnostic might take several years as well. We are excited to have a number of advanced programs in the clinic and other stages of development. However getting to this stage will remain a challenge for new technologies entering the healthcare industry today.

Q: Can you talk about an example of the Berg Interrogative Biology platform used in a data-driven approach in drug discovery or biomarker identification? What are the results and lessons learned?

A: Our flagship drug development program in oncology is currently in phase II studies in pancreatic cancer and phase I/II in glioblastoma. The compound BPM31510 is a cancer metabolism therapeutic. Its development is guided by artificial intelligence. BERG applied Interrogative Biology® platform to elucidate the compound mechanism of action, guide clinical development toward the right tumor types, and BERG currently uses the platform to develop complementary diagnostics for potential patient stratification in registrational trials. In addition, BERG has late stage pre-clinical programs in diabetes and Parkinson’s disease, a validated diagnostic panels in prostate cancer, and validation ready predictive diagnostic programs in neurodegeneration.

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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