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: AI-powered digital twins for predictive healthcare
    sub title: creating virtual replicas of humans
  title info:
    title: Artificial intelligence-powered digital twins for predictive healthcare
  name:
    name part: S., Balasubramaniam
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Kadry, Seifedine
    name part: 1977-
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: pau
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xviii, 483 pages) : illustrations
  abstract: "AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists."-- Provided by publisher.
  table of contents: The next generation of health monitoring : digital twins and medical wearables / Wasswa Shafik, Ali Tufail, Liyanage De Silva, Rosyzie Haji Mohd Apong -- Bridging AI, healthcare, and industry using digital twins for transformative solutions / Ashwini A, Hameed Shaik, Ansho P M -- The new frontier of digital twins in next-gen wearables for personalized health tracking / Ashwini A, Santhiya G, Balasubramaniam S -- Improving operational efficiency of healthcare operations using digital twins / Dipti Chauhan, Pritika Bahad -- The virtual revolution of digital twins in chronic healthcare management / Lavanya M, Ashwini A, Balasubramaniam S.
  note: [edited by] Balasubramaniam S., Seifedine Kadry.
  note: "Premier Research Source" -- from cover.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Medical applications
    genre: Case studies
  subject:
    topic: Digital twins (Computer simulation)
    genre: Case studies
  classification: R859.7.A78 A425 2025
  classification: 610.285
  related item:
    title info:
      title: AI-powered digital twins for predictive healthcare
    origin info:
      publisher: Hershey, PA : IGI Global Scientific Publishing, [2025]
    identifier: (DLC) 2024060465
  identifier: 9798337305400 (electronic bk.)
  identifier: 9798337305387
  identifier: 9798337305394
  identifier: 2024060466
  location:
    physical location: POD
  record info:
    record content source: DLC
    record creation date: 250318
    record change date: 20250810211312.4
    record identifier: in00005658211
    language of cataloging:
      language term: eng