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: Precision medicine in oncology
  name:
    name part: Radosevich, James A. (James Andrew)
    role:
      role term: editor.
  name:
    name part: Aydogan, Bulent
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2021
    copyright date: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxii, 249 pages)
  abstract: "Most medical treatments have been designed for the "average patient." As a result of this "one-size-fits-all-approach," treatments can be very successful for some patients but not for others. This is changing with the emergence of precision medicine, an innovative approach to disease prevention and treatment that takes into account individual differences in people's genes, environments, and lifestyles. Precision medicine gives clinicians tools to better understand the complex mechanisms underlying a patient's health, disease, or condition, and to better predict which treatments will be most effective. Precision or personalized medicine in cancer treatment was once a buzzword, but it is finally becoming a reality with recent advances in imaging, genetic, and biological sciences. The importance of interpatient and intratumor variability has long been recognized, but realistic opportunities to take these into account in cancer care have emerged only recently. Innovations in patient characterization through genomics, proteomics, and metabolomics have opened new avenues to personalize cancer treatment in ways that were not possible before. Furthermore, advances in quantitative assessment of therapeutic response, as provided by functional and molecular imaging, have been critical in the implementation of precision medicine paradigm in radiation oncology. This book will be a comprehensive review of science and technology making precision medicine possible for radiation oncology, current examples and future direction"--
  table of contents: Genomic Strategies for Personalized Cancer Therapy -- Blood-based biomarkers for the diagnosis and prognosis of cancer -- Application of circulating cell free DNA for personalized cancer therapy -- Prognostic Implications of EGFR, p53, p16, cyclin D1, Bcl-2 in Head & Neck Squamous Cell Carcinoma (HNSCC) -- Predictive and prognostic markers for cancer medicine -- Dual Energy Imaging in Precision Radiation Therapy -- The role of Big Data in personalized medicine.
  note: edited by Bulent Aydogan, James A. Radosevich.
  note: Includes bibliographical references and index.
  subject:
    topic: Cancer
    topic: Radiotherapy
  subject:
    topic: Neoplasms
    topic: radiotherapy
  subject:
    topic: Precision Medicine
    topic: methods
  classification: RC263 .P74 2021
  classification: 616.99/4
  classification: QZ 269
  related item:
    title info:
      title: Precision medicine in oncology
    origin info:
      publisher: Hoboken, NJ : Wiley-Blackwell, 2021.
    identifier: (DLC) 2020012104
  identifier: 9781119432487
  identifier: 1119432480
  identifier: 9781119432494
  identifier: 1119432499
  identifier: 9781119432456
  identifier: 1119432456
  identifier: 9781119432449
  identifier: 2020012105
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 200311
    record change date: 20260214232355.8
    record identifier: in00004686156
    language of cataloging:
      language term: eng