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: Accelerated Path to Cures
  name:
    name part: Bassaganya-Riera, Josep.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 82 p. 11 illus. in color. online resource.
  abstract: Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures. .
  table of contents: Chapter 1: Introduction to Accelerated Path to Cures and Precision Medicine in Inflammatory Bowel Disease -- Chapter 2: Computer-Aided Drug Discovery -- Chapter 3: Preclinical Studies: Efficacy and Safety -- Chapter 4: From Nutritional Immunology to Drug Development -- Chapter 5: Development of Synthetic Patient Populations and In Silico Clinical Trials.
  note: edited by Josep Bassaganya-Riera.
  subject:
    topic: Immunology
  subject:
    topic: Bioinformatics
  subject:
    topic: Health informatics
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational biology
  subject:
    topic: Immunology
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Health Informatics
  subject:
    topic: Computer Appl. in Life Sciences
  classification: QR180-189.5
  classification: 616.079
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319732381
  identifier: https://doi.org/10.1007/978-3-319-73238-1
  record info:
    record creation date: 180425
    record change date: 20191029022153.0
    record identifier: 978-3-319-73238-1