The AI Boot Camp: Biomedical AI Tools and Applications covers emerging topics in biomedical AI. Instruction centers around publicly available tools, platforms, models, and techniques which may augment or accelerate participants’ own graduate research. Each session consists of an introduction lecture, a guided technology preview, interactive hands-on exercises, and group activities and discussion. No prior coding experience or AI knowledge is required.
Read about the sessions and register below:
Tues. Aug., 18, 9 AM – 4:30 PM AI Boot Camp Sessions
| Session | Description |
|---|---|
| Foundation Models for Biomedical Imaging | Learn how to use state-of-the-art computer vision and multimodal foundation models for a variety of biomedical imaging tasks and domains. (Tools: micro-SAM) |
| Prompt Engineering, AI Reasoning, and Trust | Learn best practices for using large language models (LLMs) for reasoning tasks and research activities. Includes strategies for mitigating hallucinations and calibrating trust. (Tools: ChatGPT [OpenAI]) |
| AI for Biomolecular Discovery | Learn key concepts behind recent breakthroughs in AI-enabled computational biology. Exemplar tasks include protein folding and AI-guided protein engineering. (Tools: AlphaFold 3 [Google DeepMind], ESM3 [EvolutionaryScale/CZI Biohub) |
| Agentic AI for Biomedical Research | Learn how to build no-code agentic AI frameworks which leverage external tools and autonomous feedback loops to accomplish complex tasks without human intervention. Includes techniques for using AI agents to generate, validate, and execute de novo code and software tools as part of a research pipeline. (Tools: Claude Code [Anthropic], MCP: Model Context Protocol) |