Ph.D., CTO, Berg Health
Slava Akmaev, Ph.D. is Senior Vice President and Chief Analytics Officer at Berg. Dr. Akmaev leads innovation in Big Data analytics applied to fundamental patient management problems in healthcare, drug development, and diagnostics. During his tenure at Berg, Dr. Akmaev has developed and launched bAIcis™, Berg Artificial Intelligence Clinical Information System that allows life scientists and clinicians to harvest the power of Big Data and affect real world patient outcomes. He works closely with the drug and biomarker development teams and directs research informatics, healthcare analytics, and personalized medicine programs within Berg and its subsidiary companies. Dr. Akmaev continues to innovate in the application of Bayesian artificial intelligence in healthcare IT. Prior to joining Berg, he was Vice President of Scientific Affairs at a Big Data analytics company, Scientific Associate Director at Genzyme Genetics and a Bioinformatics lead at Genzyme. Dr. Akmaev holds a Ph.D. in Applied Mathematics from the University of Colorado at Boulder.
Artificial Intelligence in Drug Development: Case Studies
The current paradigm in discovery and development of novel therapeutics is outdated and inefficient. Here, we present a radically different approach that relies on hypothesis free, data-driven methodology in biological research. Berg Interrogative Biology and artificial intelligence mathematics are readily available for processing of disparate biological outputs into actionable research leads. We will discuss target and biomarker case studies in oncology, endocrinology and neurology.