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  • LangChain for Life Sciences and Healthcare: Innovation Through LLMs and Generative AI Agents

LangChain for Life Sciences and Healthcare: Innovation Through LLMs and Generative AI Agents

by Ivan Reznikov (Author) Format: Paperback
5.0 out of 5 stars (2)

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Feeling overwhelmed by the volume of data in your research? Sifting through massive amounts of data to find useful insights is becoming increasingly difficult in drug discovery, genetics, and healthcare. Enter the era of generative AI with LangChain, whose groundbreaking tools are changing the way life scientists and researchers operate.

In this groundbreaking book, Dr. Ivan Reznikov teaches you to harness the power of AI to elevate your research capabilities. Divided into two parts, the first is essential for any specialist, covering the transition from traditional statistics to generative AI, the fundamentals of large language models, and the practical uses of LangChain. The second part is designed for life science professionals who want to create AI applications for biology, chemistry, drug development, and more. By the end, you will:

  • Learn how to easily create and integrate LangChain applications into research
  • Discover how to substantially accelerate your experimental and data analysis operations
  • Explore cutting-edge AI solutions designed to address complex research problems
  • Gain the skills and knowledge to advance your career in AI-enhanced life sciences

Read more
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  1. ISBN-10
    1098162633
  2. ISBN-13
    978-1098162634
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    August 26, 2025
  6. Language
    English
  7. Dimensions
    7 x 1 x 9 inches
  8. Print length
    410 pages
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From the Publisher

From the Preface

For centuries, life scientists have painstakingly unraveled the mysteries of nature, one experiment, one observation at a time. But what if we could accelerate discovery exponentially? What if we could empower researchers with intelligent tools capable of not only analyzing vast datasets but also generating novel hypotheses and solutions?

The AI road map, according to several AI giants, may look as follows:

Chatbots: AI systems designed for conversational interactions, handling basic queries and tasks

Reasoners: Advanced AI capable of human-level problem-solving, analyzing complex data, and providing strategic solutions\

Agents: Autonomous systems that can execute tasks, make decisions, and adapt to new situations without human intervention

Innovators: AI that contributes to invention and innovation, generating new ideas and optimizing designs

Organizations: Sophisticated AI entities capable of performing the work of an entire organization, managing operations, and making strategic decisions

LangChain for Life Sciences and Healthcare: Innovation Through LLMs and Generative AI Agents

At the time of this book’s publication, we’re moving from reasoners to agents. This book will allow you to go even further and develop your own agents and multi-agent innovators, capable of creating new ideas and brainstorming. The book is separated into two parts. Part I is dedicated to setting the stage:

  • Chapter 1 surveys the modern generative AI landscape.
  • Chapter 2 discusses how large language models work.
  • Chapter 3 teaches how to use LangChain components.
  • Chapter 4 describes what hallucinations are, when to use them, and how to avoid them.
  • Chapter 5 discovers ways in which LangChain applications can speed up general research with a debate machine and showcases simple LangGraph teams.

Part II is dedicated to research, life science domains, and building commercial applications:

  • Chapter 6 examines fine-tuned chemical models and teaches how to build multifunctional chemistry AI assistants.
  • Chapter 7 develops research teams with an AlphaFold team member, DNA generation agents, and many more, followed by fine-tuning a DeepSeek reasoning model on biological data.
  • Chapter 8 explores how to generate molecules with preset characteristics using variational autoencoders and looks into merging graph technologies with generative AI.
  • Chapter 9 builds a powerful LangGraph team of different AI superagents, responsible for speech-to-text, retrieving table data, generating reports, and performing hypothesis reasoning.
  • Chapter 10 concludes the book by discussing guardrails and best practices regarding data privacy, security, and compliance, looking into some alternatives such as LlamaIndex, CrewAI, and AutoGen, and creating live-time production generative AI applications with LangChain and its add-ons.

Learning LangChain: Building AI and LLM Applications with LangChain and LangG...
LangChain for Life Sciences and Healthcare: Innovation Through LLMs and Gener...
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About the Author

Ivan Reznikov holds a PhD in chemistry and has expertise in computational modeling, data science and generative AI. He has amassed over a decade of experience seamlessly blending the realms of life sciences, healthcare and data science. This unique background allowed him to pen this book, providing unparalleled insights and knowledge to unlock the potential of LangChain in scientific research and medical cases.

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ August 26, 2025
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 410 pages
  • ISBN-10 ‏ : ‎ 1098162633
  • ISBN-13 ‏ : ‎ 978-1098162634
  • Item Weight ‏ : ‎ 1.5 pounds
  • Dimensions ‏ : ‎ 7 x 1 x 9 inches
  • Best Sellers Rank: #1,708,633 in Books (See Top 100 in Books)
  • Customer Reviews:
    5.0 out of 5 stars (2)