14–15 Apr 2027 · San Diego, US

AI/Machine Learning for Early Drug Discovery Part 1

Cambridge Healthtech Institute’s 8th Annual AI/Machine Learning for Early Drug Discovery – Part 1 is a two-day professional conference (April 14–15, 2026) focused on AI/ML applications in early-stage drug discovery. It convenes chemists, biologists, bioinformaticians, and data scientists to discuss computational tools and data analytics for design, hit identification, PK/PD prediction, and lead optimization across small molecules, peptides, and antibodies. The program includes short courses and sessions on integrating design-make-test cycles, automation, active learning, and regulatory considerations.

Last updated

Dates
14–15 Apr 2027
Venue
Town & Country Resort
Location
San Diego, US
Frequency
Annual
Audience
Trade
Duration
2 days
IT & SoftwarePharma & Biotech

Compiled from public sources and periodically reviewed and updated. This information is provided for general guidance only and may be incomplete or out of date — please verify all details directly with the organizer or venue before relying on them.

About AI/Machine Learning for Early Drug Discovery Part 1

AI/Machine Learning for Early Drug Discovery Part 1 is a trade show for the IT & Software and Pharma & Biotech industries, held in San Diego, United States. The 2027 edition runs 14–15 Apr 2027 at Town & Country Resort.

Known editions

Venue

Town & Country Resort

92108 San Diego, California, US

Exhibitors

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Frequently asked questions

When is AI/Machine Learning for Early Drug Discovery Part 1 2027?
AI/Machine Learning for Early Drug Discovery Part 1 2027 runs 14–15 Apr 2027 at Town & Country Resort.
Where is AI/Machine Learning for Early Drug Discovery Part 1 held?
AI/Machine Learning for Early Drug Discovery Part 1 is held at Town & Country Resort in San Diego, United States.
Is AI/Machine Learning for Early Drug Discovery Part 1 worth attending?
AI/Machine Learning for Early Drug Discovery Part 1 is a trade show for the IT & Software and Pharma & Biotech industries, so it is most relevant to exhibitors and buyers in those industries. Whether it is worth attending depends on your objectives, but its scale and sector focus are a useful guide.

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