Personalized Preventive Medicine

A section of Journal of Personalized Medicine (ISSN 2075-4426).

Section Information

Aim

The Personalized Preventive Medicine Section aims to establish research, innovation, and clinical practice that utilize individual-specific data to predict, prevent, and pre-empt the development of disease before it occurs. This Section serves as an interdisciplinary forum for submissions that integrate genomics, digital health, biomarkers, lifestyle information, AI-based risk stratification, and precision public health interventions, enabling anticipatory, patient-centered care.

Scope

We welcome high-quality original research, reviews, and opinions that investigate the following:

  • Risk prediction programs and early detection platforms predicated on genetic, epigenetic, microbiome, metabolomic, or multi-omics information.
  • Individualized preventive treatments, including behavioral, pharmacologic, nutritional, and lifestyle treatments.
  • Digital and wearable health technologies for real-time tracking and individualized feedback.
  • Artificial intelligence and machine learning applications for disease prevention and health risk stratification.
  • Implementation science and health policies concerning personalized prevention approaches in clinical or community environments.
  • Health equity and ethics in the application of personalized prevention resources.

This Section explores the intersection between personalized outcomes and scalable prevention practices, bridging the research–practice gap.

Editorial Board

Special Issue

Following special issue within this section is currently open for submissions:

Papers Published

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