From code to cure: AI agents driving biomedical discovery
Join us for a webinar with the Le Cong Lab at Stanford, where the team will share their work on AI co-scientists for biomedical research.
They will present case studies including CRISPR-GPT for gene editing, RNAGenesis for RNA design and applications in stem cell engineering and functional genomics (StemCell-GPT, AutoScreen).
By combining large language models with domain expertise and leveraging advanced cloud and GPU infrastructure, they have built multi-agent systems that manage research pipelines from hypothesis to interpretation.
What You Will Learn
- How CRISPR-GPT, RNAGenesis, StemCell-GPT, and AutoScreen were developed using scalable cloud and GPU infrastructure.
- How researchers can leverage GPU-accelerated platforms to build and refine models for complex biological applications.
- How multi-agent AI systems can accelerate the path from raw data to actionable biomedical insights.
Who Should Attend
Researchers, biotech innovators, pharma professionals, computational biologists and anyone interested in the convergence of AI and life sciences.
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