Discover how ML and active learning techniques are revolutionizing the search for promising drug candidates in vast chemical libraries, accelerating hit identification.
Learn how AI models navigate ultra-large chemical spaces, prioritize bioactive compounds, and streamline the discovery of potential hits for further development.
Speaker(s):
Lingling Shen
Associate Director, Data Science, Discovery Sciences
Novartis
Time:
2:30 PM - 3:00 PM
Agenda Track No.:
Track 2
Session Type:
General Session (Presentation)