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Transform diabetes care with precision medicine

  • Sharumathy Kannan
  • , Dinesh Kumar Chellappan
  • , Chia Siang Kow
  • , Dinesh Sangarran Ramachandram
  • , Manisha Pandey
  • , Jayashree Mayuren
  • , Kamal Dua
  • , Mayuren Candasamy
  • International Medical University
  • Monash University Malaysia
  • Central University of Haryana
  • University of Technology Sydney

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations

Abstract

Background and Aims: Diabetes is a global concern. This article took a closer look at diabetes and precision medicine. Methods: A literature search of studies related to the use of precision medicine in diabetes care was conducted in various databases (PubMed, Google Scholar, and Scopus). Results: Precision medicine encompasses the integration of a wide array of personal data, including clinical, lifestyle, genetic, and various biomarker information. Its goal is to facilitate tailored treatment approaches using contemporary diagnostic and therapeutic techniques that specifically target patients based on their genetic makeup, molecular markers, phenotypic traits, or psychosocial characteristics. This article not only highlights significant advancements but also addresses key challenges, particularly focusing on the technologies that contribute to the realization of personalized and precise diabetes care. Conclusion: For the successful implementation of precision diabetes medicine, collaboration and coordination among multiple stakeholders are crucial.

Original languageEnglish
Article numbere1642
JournalHealth Science Reports
Volume6
Issue number11
DOIs
StatePublished - Nov 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • artificial intelligence
  • beta cell transplantation
  • diabetes
  • diabetes nanomedicine
  • precision medicine

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