Description

Book Synopsis
DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments. This excellent overview Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs;Details the use of molecular recognition for drug development through various mathematical models;Highlights classical as well as machine lear

Drug Design using Machine Learning

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    £149.40

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    RRP £166.00 – you save £16.60 (10%)

    Order before 4pm today for delivery by Fri 19 Jun 2026.

    A Hardback by Tariq Altalhi, Jorddy Neves Cruz


      View other formats and editions of Drug Design using Machine Learning by

      Publisher: John Wiley & Sons Inc
      Publication Date: 1/27/2022 12:10:00 AM
      ISBN13: 9781394166282, 978-1394166282
      ISBN10: 1394166281
      Also in:
      Chemistry

      Description

      Book Synopsis
      DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments. This excellent overview Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs;Details the use of molecular recognition for drug development through various mathematical models;Highlights classical as well as machine lear

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