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Precision medicine: Concept and tools.

Nardeep Naithani1, Sharmila Sinha2, Pratibha Misra3

  • 1Director & Commandant, Armed Forces Medical College, Pune, India.

Medical Journal, Armed Forces India
|July 26, 2021
PubMed
Summary

Precision medicine tailors treatments using big data, AI, and omics, moving beyond "one size fits all" approaches. Integrating these with environmental and social factors revolutionizes healthcare for better patient outcomes.

Keywords:
Big dataEpigeneticsOmicsPrecision medicinePreventive medicine

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Area of Science:

  • Biomedical Science
  • Medical Informatics

Background:

  • Precision medicine represents a paradigm shift from generalized treatments to individualized healthcare.
  • The concept, though historically rooted, gained significant momentum with the 2015 Precision Medicine Initiative.

Purpose of the Study:

  • To outline the core components and transformative potential of precision medicine.
  • To highlight the integration of diverse data sources for personalized treatment strategies.

Main Methods:

  • Leveraging big data from electronic health records, including clinical and omics biomarkers.
  • Employing artificial intelligence and machine learning for analyzing complex datasets and developing predictive algorithms.
  • Integrating genomics, epigenomics, proteomics, transcriptomics, metabolomics, and microbiomics data.

Main Results:

  • Demonstrates a move from "one size fits all" to tailored therapeutic approaches.
  • Highlights the increasing importance of pharmaco-omics for optimizing drug efficacy and safety.
  • Emphasizes the critical role of environmental, social, and behavioral factors in disease management.

Conclusions:

  • Precision medicine integrates advanced data analytics, omics technologies, and multifactorial health determinants.
  • The synergy of precision medicine with preventive and public health strategies promises to reshape future medical practice.