Cambridge Healthtech Institute’s 2nd Annual

Generative AI & Predictive Modeling

Accelerating Drug Discovery by Improving Speed, Scale, and Accuracy

April 14, 2025

Currently, we are witnessing the rise of different artificial intelligence (AI) and machine learning (ML) tools for drug discovery, and generative AI (GenAI) is thought to be a game-changer. GenAI models and algorithms promise to transform how drug targets are identified and pursued, how novel lead candidates with desirable drug-like properties are designed and optimized, and how complex biology and expansive chemical space can be explored. Cambridge Healthtech Institute’s symposium on Generative AI & Predictive Modeling will bring together experts to discuss emerging applications of GenAI and will be a good primer for the AI/ML for Early Drug Discovery conferences that follow.

Coverage will likely include:

Generative Deep Learning for Molecular Design: Basic Concepts
Applications of Generative AI for Target Discovery, Lead Identification, and Optimization
Large Language Models: Drug Discovery in the ChatGPT Era
Utilizing Neural Networks, Knowledge Graphs for Pharma
Overview of Reality Checks and Strategies for Bridging Gaps
From Predictive to Prescriptive AI

The deadline for priority consideration is September 27, 2024.

All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge Healthtech Institute’s policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.

Opportunities for Participation: