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

Research output: Contribution to journalReview ArticleResearchpeer-review


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
Number of pages9
JournalHealth Science Reports
Issue number11
Publication statusPublished - Nov 2023


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

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