Vol. 3 No. 2 (2025): Issue - 02
Survey / Literature Reviews

Precision Medicine: Innovations and Challenges

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  • Jitender Bisht,
  • Umesh Kumar Yogi,
  • Parveen Sadotra,
  • Pradeep Chouksey,
  • Mayank Chopra
Jitender Bisht
central university of himachal pradesh
Umesh Kumar Yogi
Department of Computer Science and informatics, Central University of Himachal Pradesh, Shahpur, Himachal Pradesh, India
Parveen Sadotra
Department of Computer Science and informatics, Central University of Himachal Pradesh, Shahpur, Himachal Pradesh, India
Pradeep Chouksey
Department of Computer Science and informatics, Central University of Himachal Pradesh, Shahpur, Himachal Pradesh, India
Mayank Chopra
Department of Computer Science and informatics, Central University of Himachal Pradesh, Shahpur, Himachal Pradesh, India
DOI: https://doi.org/10.5281/zenodo.15770631

Published 2025-06-30

Keywords

  • digital healthcare,
  • precision medicine,
  • disease detection,
  • machine learning

How to Cite

Bisht, J., Umesh Kumar Yogi, Parveen Sadotra, Pradeep Chouksey, & Mayank Chopra. (2025). Precision Medicine: Innovations and Challenges. Milestone Transactions on Medical Technometrics, 3(2), 252–259. https://doi.org/10.5281/zenodo.15770631

Abstract

Precision medicine is an emerging approach for disease prevention and treatment that will take into account individual heterogeneity in genes, environment, and lifestyle for each person. The paper takes stock of the state of precision medicine as it is applied in different specialties, such as oncology, neurology, and managing chronic conditions. The first aim is to find major technological and methodological innovations for improved personalized treatment approaches and address ethical issues of accessibility and fairness. We conduct a large-scale literature review to explore the latest research literature focused on the use of artificial intelligence and genomic data for clinical practice. Based on the analysis conducted, the results revealed that although there has been substantial progress in utilizing these technologies to enhance patient outcomes advances, equitable access to precision medicine solutions remains a challenge. However, it highlights the necessity of further research to explore ethical architectures that will serve the equitable realization of precision medicine practices.

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References

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