Applied Generative AI for Health Sciences Research
A graduate textbook
Welcome
This is the online version of Applied Generative AI for Health Sciences Research by The rgtlab Curriculum Project, a graduate textbook for clinical and public-health research.
The book covers the practical use of generative AI, large language models, reasoning models, agents, and multimodal systems, in clinical, public-health, and biostatistical research and practice. It is designed for graduate students and working researchers, clinical, public-health, and biostatistical, who already know quantitative methods at the level of a first-year graduate sequence and are now adding AI assistance to their workflow with appropriate discipline and verification.
The book sits alongside three companion volumes in the series:
- Statistical Computing in the Age of AI, the introductory graduate computing volume.
- Advanced Statistical Computing in the Age of AI, the advanced computing volume covering numerical stability, optimisation, Monte Carlo, and high-dimensional methods.
- Biostatistics Practicum, the workflow companion covering Git, Docker, renv, Quarto, CDISC, and SAS.
This fourth volume treats generative AI as the orthogonal axis: not a method to be added to the curriculum but a collaborator to be integrated into every stage of clinical and public-health research, from exploratory analysis through deployment.
See the Preface for motivation and the Conventions page for visual cues used throughout.
License
This book is licensed to you under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The code samples in this book are licensed under Creative Commons CC0 1.0 Universal (CC0 1.0), i.e. public domain.