Harnessing AI for Hit Identification in the Ultra-Large Chemical Space | Kisaco Research

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): 

Author:

Lingling Shen

Associate Director, Discovery Sciences
Novartis

Lingling Shen

Associate Director, Discovery Sciences
Novartis

Author:

Justin Scheer

Vice President, In Silico Discovery
Johnson & Johnson Innovative Medicine

Justin Scheer

Vice President, In Silico Discovery
Johnson & Johnson Innovative Medicine
Time: 
3:30 PM - 4:00 PM
Agenda Track No.: 
Track 2
Session Type: 
General Session (Presentation)