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£48.47
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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
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Description
Master AI in biotechnology with AI for Biotech, the practical playbook that turns the world's most powerful tools into everyday research workflows. From ChatGPT and AlphaFold to RFdiffusion, CRISPR design, single-cell foundation models, and lab automation, this book hands biotechnologists exactly what they need to work faster, write better, and build a career in the AI-augmented era of biology. Whether you are a graduate student feeling behind on AI, a postdoc protecting publication rigour, a PI standardizing workflows for your lab, or a biologist crossing over from the bench into computation, this book meets you where you are. Every chapter is anchored in real biology research (not toy datasets) drawn from the author's own work on glioblastoma, hypoxia, prime editing, and oncology at IIT Guwahati and IISER Bhopal. No prior programming experience is required. You learn what you need, ignore what you do not, and finish each chapter with a working notebook you can paste into Colab the same day. What Makes This Book Different Most AI books for scientists are written by AI engineers who do not know wet-lab realities. AI for Biotech is written by a biotechnologist for biotechnologists, by the author of Demystifying Biotechnology, a triple national fellowship holder (ICMR-JRF, DBT-GATB, GATE BT), and IAS-INSA-NASI Summer Research Fellow with research training across three premier Indian institutions (IIT, IISER, ICMR). Benefits of Reading This Book Use AI tools confidently across every stage of biotech research, from literature review to publication Apply 22 working AI workflows immediately, with prompts, code, and validation patterns you can reuse Future-proof your career with a five-year playbook for the AI-augmented biotechnologist What's Included in the Book AI foundations, prompt engineering, and the four classes of AI tools every biotechnologist must know AI-powered literature review, scientific writing, data visualization, and electronic lab notebook workflows Protein structure prediction with AlphaFold and ESMFold, plus de novo design with RFdiffusion AI in drug discovery: target identification, generative chemistry, docking, and ADMET prediction Single-cell foundation models, NGS analysis, AI-driven CRISPR design, microscopy, and clinical AI Lab automation and AI agents, synthetic biology with generative AI, reproducibility and regulatory considerations Portfolio building, career playbook, and the five-year forward look, designed for the next generation of biotechnologists AI is not replacing biotechnologists. It is amplifying them. This book teaches you how to be one of the amplified.
Product Specifications
- Format
- hardcover
- ASIN
- B0H61T2H9V
- Domain
- Amazon UK
- Release Date
- 19 June 2026
- Listed Since
- 19 June 2026
Barcode
No barcode data available
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