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Polypharmacy and precision medicine.

Kenji Fujita1, Nashwa Masnoon1, John Mach1

  • 1Departments of Clinical Pharmacology and Aged Care, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, NSW, Australia.

Cambridge Prisms. Precision Medicine
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PubMed
Summary
This summary is machine-generated.

Precision medicine optimizes drug use by considering individual factors. Applying this to polypharmacy (multiple medications) requires advanced prediction models for drug-drug interactions and personalized treatment plans.

Keywords:
Precision medicinepatient care planningpersonalised therapiespharmacokineticspolymorphism

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Area of Science:

  • Pharmacogenomics
  • Clinical Pharmacology
  • Bioinformatics

Background:

  • Precision medicine tailors treatments using demographic, clinical, genomic, and environmental data.
  • Optimizing polypharmacy (multiple medications) is complex due to numerous interacting factors affecting drug response.
  • Current precision medicine approaches are challenged by the complexity of polypharmacy.

Purpose of the Study:

  • To review challenges and current strategies for precision medicine in polypharmacy.
  • To summarize literature on predicting drug-drug interactions (DDIs).
  • To propose a novel approach for precision medicine in polypharmacy.

Main Methods:

  • Narrative review of the latest research findings.
  • Synthesis of current precision medicine approaches in polypharmacy.
  • Literature review on predicting drug-drug interactions (DDIs).

Main Results:

  • Identified key challenges in applying precision medicine to polypharmacy.
  • Summarized existing approaches and literature on DDI prediction.
  • Proposed a novel model integrating bioinformatic and clinical data for personalized polypharmacy.

Conclusions:

  • Implementing precision polypharmacy requires integrating comprehensive data into electronic medical records.
  • Clinician training is essential for interpreting pharmacogenomic and DDI prediction data.
  • Further studies are needed to validate the proposed model for widespread clinical use.