AI Agents for Drug Discovery: A Workshop
Let’s go beyond chatbots and explore AI agents for real scientific workflows.
In this workshop we’ll explore how agentic tools can accelerate drug discovery across the entire span of preclinical work: searching published literature and patents, generating novel compound candidates, hit-to-lead optimization, ADMET screening, designing efficient laboratory experiments, and everything in between.
Making an agent genuinely useful in drug discovery requires more than access to a powerful model. We’ll discuss what AI agents are, how they differ from conventional chatbots, what goes into effectively leveraging their capabilities, and what we think is most exciting about this emerging technology.
Through hands-on drug-discovery examples, we’ll explore reliability and human verification, security and privacy, context and scaling limits, and the tradeoffs between quality, speed, and cost.
Bring your drug discovery questions, preclinical pipeline struggles, and pharmaceutical expertise and try out agentic tools first-hand.
Who Should Attend
This workshop is especially relevant for:
Scientists working in preclinical drug discovery
Computational and medicinal chemists
Biologists working with computational teams
Biotech founders and pharma R&D executives
Scientists interested in incorporating AI into existing research workflows
No AI or machine-learning expertise is required, just a computer.
More info: https://community.venturecafecambridge.org/sessions/2750
About Us
Mirror Physics builds AI agents for drug discovery.
Our product, Axon, combines frontier AI models with scientific tools and computational infrastructure to aid scientists working on all stages of preclinical drug discovery.