Cambridge Healthtech Institute’s 8th Annual

AI/Machine Learning for Early Drug Discovery – Part 2

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

April 15-16, 2026

Regulatory agencies are now recognizing the increased use of Artificial Intelligence (AI)/Machine Learning (ML) in drug development and for drug submissions. AI/ML for Early Drug Discovery is a two-part conference that brings together chemists, biologists, bioinformaticians, and data scientists to discuss the best-use computational tools and data analytics earlier in the drug development process to drive better clinical outcomes, by highlighting the pros and cons of AI/ML-driven decision-making. The first part of the conference focuses on how AI/ML can help improve design, hit identification, PK/PD prediction, and lead optimization for different drug modalities. The second part focuses on emerging computational tools and models for target identification, deconvoluting complex cellular pathways, and driving new applications by exploring diverse chemical space and challenging drug targets.

Coverage will likely include:

Using machine learning to deconvolute cellular interactions and identify novel drug targets
AI-based methods for high-throughput virtual screening
Case studies highlighting the use of generative AI in therapeutic areas like oncology, obesity, CNS
Applications of AI/ML in emerging areas like protein degradation for pursuing undruggable targets
De novo protein and antibody design using deep learning approaches
Understanding limitations and caveats when using and integrating AI/ML predictions

The deadline for priority consideration is September 30, 2025.

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:

To submit a podium presentation, please click here.
To become a sponsor, click here.
To present a poster, click here.

For more details on the conference, please contact:
Tanuja Koppal, PhD
Senior Conference Director
Cambridge Healthtech Institute
Email: tkoppal@healthtech.com

For sponsorship information, please contact:
Kristin Skahan
Senior Business Development Manager
Cambridge Healthtech Institute
Phone: (+1) 781-972-5431
Email: kskahan@healthtech.com