Digital Twin Technology for Management of Chronic Metabolic Disease

  • Maluk Mohamed
  • , Mohamed Thajudeen
  • , Suresh Damodharan
  • , Ravi Sankar Erukulapati
  • , Jaffar A. Raza
  • , Shashank R. Joshi
  • , Jeffrey I. Mechanick

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Digital twin (DT) technology is a novel form of preventive care that leverages wearable technologies oftentimes with proprietary software. Consequently, there has been a growing commercial interest in DT products, which have varying degrees of scientific substantiation. This new approach to self-management, behavioral medicine, and mitigation of chronic metabolic disease progression fits squarely in the field of lifestyle medicine. The application of DT technology in healthcare is impelled by serial breakthroughs in big data analytics, cloud computing, virtual reality, artificial intelligence, and the Internet of Things. Several DT commercial products can meet these needs and are in varying phases of development and implementation with different chronic disease targets and levels of evidentiary support.

Original languageEnglish
Title of host publicationLifestyle Medicine
Subtitle of host publicationClosing Research, Practice, and Knowledge Gaps
PublisherSpringer Science+Business Media
Pages651-670
Number of pages20
ISBN (Electronic)9783031828881
ISBN (Print)9783031828874
DOIs
StatePublished - 1 Jan 2025

Keywords

  • Artificial intelligence
  • Chronic disease
  • Diabetes
  • Digital twin
  • Lifestyle medicine
  • Preventive medicine
  • Wearable technologies

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