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.
Try Nebius AI Cloud console today
Get immediate access to NVIDIA® GPUs, along with CPU resources, storage and additional services through our user-friendly self-service console.
