July 2025
Intermediate to advanced
412 pages
11h 41m
English
Content preview from LangChain for Life Sciences and Healthcare
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Chapter 7. LangChain for Biology
The intersection of generative AI and biology represents one of the most promising frontiers in life sciences, with the market projected to quadruple to at least USD 1.5 billion in the next 8–10 years. This remarkable growth trajectory is driven by revolutionary technologies that are reshaping biological research and drug discovery processes. Part of the market’s growth is driven by drug discovery and healthcare applications, where generative AI significantly reduces costs and accelerates the development pipeline. Some of the use cases from these domains are covered in Chapters 8 and 10. The pharmaceutical and biotechnology sector, commanding half of the market share, leads adoption across generative AI applications.
LLMs in Biology
Originally designed for natural language processing, text LLMs are now being applied to biological domains from genomics to single-cell analysis. The technology enables the design of synthetic genes and genomes, facilitating the creation of organisms with specific desired traits. This has broad applications in biotechnology, from developing biofuels to enhancing agricultural crops. Furthermore, generative AI is being used to optimize genome editing tools like CRISPR-Cas9, improving their precision and efficiency in modifying genetic material.
A notable application of generative AI in genomics is creating synthetic genomes while preserving the statistical properties of real genomic data. This capability is especially ...
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