
AI for Biotech
The Practical Guide to Using AI Tools to Accelerate Your Research and Your Career: From ChatGPT and AlphaFold to Lab Automation and Beyond
About this book
A practical playbook for using AI in day-to-day biology research, from ChatGPT and AlphaFold to RFdiffusion, CRISPR design, single-cell foundation models and lab automation. The examples come from real research on glioblastoma, hypoxia, prime editing and oncology rather than toy datasets. No programming background is assumed, and each chapter ends with a working notebook you can open in Colab.
Who it's for
- Graduate students who feel behind on AI
- Postdocs and PIs standardising AI use in a lab
- Biologists moving from the bench into computation
Resources for readers of AI for Biotech
Free material that goes with the book. If you spot an error or have a question about a chapter, send it below; corrections are listed here once confirmed.
Errata and reader questions
Found a mistake, a broken QR code or a confusing passage? Tell me the chapter and page. Every report is read, and confirmed corrections go into the next printing.
Confirmed errata: none listed yet.
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