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Updated: Apr 28, 2026

Author Spotlight: Advancing Personalized Medicine in Ovarian Cancer
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Personalized Medicine, Storied Past, Contentious Present, Promising Future.

Kenneth P H Pritzker1, Arash Samari2

  • 1Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada.

Journal of Personalized Medicine
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PubMed
Summary

Personalized Medicine aims to tailor treatments to individuals, evolving with science. Future success requires deeper disease knowledge, better individual characteristic identification, and improved data integration for optimized healthcare.

Keywords:
Evidence-based MedicinePersonalized MedicineStratified Medicineartificial intelligencedata qualityhistory of medicineindividualized healthcaremedical informaticspharmacogenomicsprecision medicine

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Area of Science:

  • Medical Science
  • Genomics
  • Healthcare Innovation

Background:

  • Personalized Medicine has been a long-standing goal in medical practice.
  • Its evolution is intertwined with scientific advancements and societal views on individuality.
  • Twentieth-century discoveries in metabolism and pharmacogenetics significantly expanded its potential.

Purpose of the Study:

  • To review historical advances and current practices in Personalized Medicine.
  • To identify limitations and challenges hindering its progress.
  • To propose future directions for advancing Personalized Medicine.

Main Methods:

  • This narrative review synthesizes historical and current literature on Personalized Medicine.
  • It analyzes scientific and societal factors influencing its development.
  • It discusses challenges in data integration and medical practice.

Main Results:

  • Personalized Medicine's scope is debated, and some clinical practices may inadvertently depersonalize care.
  • Integrating vast scientific data for individual-centered care presents significant challenges.
  • Historical context shows a parallel evolution of science and understanding of the individual.

Conclusions:

  • Advancing Personalized Medicine necessitates deeper knowledge of disease processes.
  • Developing methods to identify unique individual characteristics is crucial.
  • Improving data quality and integrating research with practice are essential for future success.