AI, Science, and Public Health

Discuss how AI can accelerate biomedical discovery in areas such as disease subtyping, behavior analysis, and vaccine design. Focus on the scientific workflow: data quality, model validation, reproducibility, interpretability, and clinical translation. What kinds of institutions, datasets, and safeguards are needed for AI-assisted medicine to produce real-world benefits rather than just impressive demos? End by proposing a roadmap for responsibly deploying AI in health research and public health.