Cambridge Healthtech Institute’s 7th Annual

AI/Machine Learning for Early Drug Discovery – Part 2

AI/ML for Exploring and Screening Complex Target Biology and Chemical Space

April 16-17, 2025

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, predict PK/PD and drug-like properties, and lead optimization. The second part will focus on emerging computational tools and models for target identification, deconvoluting cellular pathways, and to drive niche applications by exploring chemical space for various therapeutic areas.

Coverage will likely include:

AI-driven molecular modeling and virtual screening for drug design, reaction kinetics, and specificity
AI and ML-enabled hit identification, drug candidate prioritization, and lead optimization
Case studies highlighting the use of generative AI for therapeutic areas like obesity, metabolic disorders
Improving compound potency and safety based on AI/ML predictions and data analytics
Using machine learning to understand cellular interactions and identify new drug targets
Applications of AI/ML in emerging areas like protein degradation, pursuing undruggable targets
De novo protein and antibody design using deep learning approaches
Improving accuracy of AI predictions for PK/PD properties and drug-related adverse events
Understanding limitations and caveats when using and integrating AI/ML predictions

The deadline for submission is October 7, 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: