Cambridge Healthtech Institute’s Inaugural
Generative AI/Machine Learning-Driven Drug Design
Design and Optimization of Small Molecules, Antibodies, and Emerging Drug Modalities
September 28, 2026
Cambridge Healthtech Institute’s inaugural symposium on Generative AI/Machine Learning-Driven Drug Design brings together scientists from emerging biotechnology companies, pharma companies and academia who are looking to reinvent drug discovery through innovative drug design. Featuring case studies and brainstorming opportunities, this symposium is geared toward idea-generation for designing new drug modalities and optimizing them for efficacy and safety, to push the most likely-to-succeed candidates into drug development.
Coverage will include, but is not limited to:
- AI/ML for de novo drug design of small molecule drugs
- Designing chimeras and conjugates with drug-like properties and low immunogenicity
- Virtual screening to expand chemical and target space
- AI/ML-enabled lead candidate optimization by enhancing molecular property predictions
- Predicting protein structure, folding, interactions, and ligand binding
- Advancements in computational design of drug-like peptides and antibodies
- Designing novel, biologically relevant protein sequences
Who should attend:
- Scientists involved in drug design and drug discovery
- Computational chemists and biologists interested in applications of emerging AI models
- Medicinal chemists looking to improve structure-based drug design
- Antibody and peptide chemists looking to optimize binding and function
- ADME/tox experts wanting to use AI/ML-based predictions for lead optimization
- AI/machine learning experts developing software tools and predictive models
The deadline for priority consideration is March 13, 2026.
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: