rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data science in pharmaceutical development
  name:
    name part: Chavda, Vivek P.
    role:
      role term: editor.
  name:
    name part: Desai, Usha
    role:
      role term: editor.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2025
    copyright date: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: This book is an indispensable guide for anyone looking to understand how AI, machine learning, and data science are revolutionizing drug discovery, development, and delivery, offering practical insights and addressing crucial real-world applications and considerations.
  note: edited by Vivek P. Chavda and Usha Desai.
  subject:
    topic: Drug development
    topic: Data processing
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  classification: RM301.25 .D38 2025
  classification: 615.1/90285
  identifier: 9781394287383
  identifier: 1394287380
  identifier: 9781394287376
  identifier: 1394287372
  identifier: 9781394287352
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 250824
    record change date: 20260215001253.9
    record identifier: in00005690687
    language of cataloging:
      language term: eng