Drive AI into Pharma by Asking the Right Questions, Suggest DECODE Speakers - AI Trends

At last week's DECODE: AI for Pharmaceuticals forum, pharma leaders discussed the cultural challenges of AI in pharma and what steps their institutions are taking to better incorporate AI in the enterprise. Editor's Note: Learn more about the DECODE event, read an interview with Dominie Roberts, Cambridge Innovation Institute Senior Event Director, and Emma Huang, Senior Director of Data Sciences External Innovation at Johnson & Johnson Innovation, and a member of the DECODE advisory board. First, Puneet Batra, director of machine learning at the Broad Institute, argued that pharma research--biology specifically--has a crucial role to play in driving AI and computing research. His work is part of the new Eric and Wendy Schmidt Center at the Broad, which has as its mission to position biology to drive the next era of computing. Batra identified two great revolutions of the 21st Century: the explosion in data technologies (machine learning, cloud, etc.) as well as the blossoming of biological technologies (sequencing, single-cell genomes, medical imaging, etc.).