AI/Machine Learning for Early Drug Discovery – Part 1 Icon

Cambridge Healthtech Institute’s 6th Annual

AI/Machine Learning for Early Drug Discovery – Part 1

AI-Driven Decision-Making for Drug Design, Screening, and Lead Optimization

APRIL 2 - 3, 2024


Artificial Intelligence (AI)/Machine Learning (ML) for Early Drug Discovery is a two-part conference that brings together a diverse group of experts from chemistry, target discovery, pharmacology, and bioinformatics to talk about the increasing use of computational tools, models, algorithms, and data analytics for drug development. The talks will highlight the pros and cons of AI/ML-driven decision-making using relevant case studies from small molecule and peptide drug development. The first part of the conference will focus on how AI/ML can help improve drug design, hit identification, and lead optimization.

6:00 pm MONDAY, APRIL 1: Dinner Short Course*
SC3: Fundamentals of Generative AI for Drug Discovery

*Premium Pricing or separate registration required. See Short Courses page for details.

Please click here to continue to the agenda for AI/Machine Learning – Part 2

For more details on the conference, please contact:

Tanuja Koppal, PhD

Senior Conference Director

Cambridge Healthtech Institute



For sponsorship information, please contact:

Kristin Skahan

Senior Business Development Manager

Cambridge Healthtech Institute

Phone: (+1) 781-972-5431