Precision medicine is one of the most talked about trends in healthcare. The promise is improved health outcomes and patient satisfaction, gained through an understanding of individual variability in genes, environment, and lifestyle. Recent commentators suggest that many of the technologies required to realize this goal already exist—and predict much wider application can be achieved by 2030.
At the heart of a precision medicine approach is data—huge amounts of data.
Paradigm4’s Marilyn Matz reflects on the understanding complex biological phenomena has required concurrent advances in experimental methods and computing power.
Dr. Zach Pitluk and Dr. Srikant Sarangi on preparing the way for AI/ML to impact drug discovery and development.
Recent news that the US Food and Drug Administration (FDA) will ask cell and gene therapy (CGT) developers to provide more consistent evidence with their submissions has resulted in drug makers delaying development plans — and working on new ways to address the agency’s concerns
