New from the Foundation Models for Biology Seminar Series, Kexin Huang from Stanford University presents Biomni, a general-purpose biomedical AI agent that automates scientific workflows across domains. #Biomni integrates large language model reasoning, retrieval-based planning, and code execution to complete research tasks like gene prioritization, drug repurposing, rare disease diagnosis, and more. The system constructs a unified environment using tools, datasets, and protocols mined from 25 biomedical domains, enabling broad generalization without task-specific tuning. 🔬 Case studies show Biomni designing full experimental protocols from minimal prompts. 🧰 Tasks span genomics, microbiome analysis, molecular cloning, and beyond. 🎙️ Hosted by Caleb Ellington and Shahin Mohammadi 📺 Watch the talk: https://lnkd.in/eirRr26f 📄 Paper: https://lnkd.in/ebc8S2KP 🌎 Learn more about Biomni: https://lnkd.in/e-hNdtJX 📖 Read the summary blog: https://lnkd.in/eQJ3XF65
