Generative Chemistry, Deep Learning, and Traditional Models

DATE

November 21, 2024

TIME

8:00 a.m. PST, 11:00 a.m. EST, 16:00 GMT, 17:00 CET - Duration: 60 Minutes

Overview

Join us as industry experts share their insights, experiences and visions for the future of machine learning in drug discovery. Pat Walters (Relay Therapeutics), Greg Landrum (ETH Zürich) and Peter Gedeck (Collaborative Drug Discovery) discuss the buzz surrounding AI; what they think is worthy of the hype, what is overhyped, and what has potential moving forward. This webinar promises to provide clarity amidst the furor of machine learning in drug discovery.

Key Learning Objectives:

What is useful in the new trend of machine learning in drug discovery? What is overhyped?
How do we decide what approaches are useful and then how do we validate those methods?

Who Should Attend:

Chemists
Chemistry R&D executives
Lab managers

Brought to you by:

Speakers

Pat Walters, PhD
Chief Data Officer,
Relay Therapeutics

Greg Landrum, PhD
Senior Scientist,
ETH Zürich

Peter Gedeck, PhD
Scientist,
Collaborative Drug Discovery

Melissa O'Meara
Forensic Science Consultant
C&EN Media Group

Registration

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