Prompt Engineering for Biology, Health Sciences & Pre-Health
LLMs are showing up across biology and medicine — from protein design and literature synthesis to patient-facing triage, documentation, and clinical decision support. Med schools, labs, and health systems increasingly value students who can work with these tools intelligently.
Where this is showing up in Biology & Health Sciences
- DeepMind's AlphaFold 3 and EvolutionaryScale's ESM3 have turned protein structure and sequence design into AI-driven workflows used across biology and drug discovery.
- Elicit, Consensus, and Semantic Scholar's AI features are becoming standard tools for biomedical literature review in labs and med-school courses.
- Clinical tools like OpenEvidence, Glass Health, and Epic's in-chart GPT assistant (rolling out across major health systems) are embedding LLMs into physician workflows.
- The FDA's evolving guidance on AI/ML medical devices and NEJM AI journal are actively shaping how LLMs get deployed in clinical settings.
Projects you could build in this course
- A literature-review agent for a specific research area or disease
- A RAG assistant over clinical guidelines (e.g., USPSTF, CDC, AAP)
- A tool that extracts structured data from case reports or lab notebooks