Drug Discovery Challenges
Daphne discusses the complexities of drug discovery, likening it to a long, uncertain journey with many potential paths. She emphasizes the need for machine learning to act as a compass, helping to predict the success of various approaches and potentially reducing the exorbitant costs associated with the process. The conversation also touches on Eroom's Law, highlighting the troubling trend of decreasing productivity in drug approval over the past 70 years.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332
Related Questions