About
Aims
The Journal of Precision Health and Predictive Medicine (JPHPM) is dedicated to advancing the scientific understanding and practical application of personalized approaches to health and disease. Our primary aim is to serve as a leading international forum for original research, innovative methodologies, and critical reviews that bridge the gap between cutting-edge scientific discoveries and their translational impact on clinical practice and public health. We seek to foster interdisciplinary collaboration and disseminate knowledge that enables earlier, more accurate diagnoses, personalized risk assessments, and highly tailored interventions to improve patient outcomes and promote global well-being.
JPHPM aims to publish high-quality, rigorously peer-reviewed scholarship that embraces the complexity of human health, considering genetic, environmental, lifestyle, and social determinants. We are committed to ethical publishing practices, transparency, and the broad accessibility of research findings to a diverse readership of scientists, clinicians, policymakers, and healthcare innovators.
Scope
• Genomic and Proteomic Biomarkers for Disease Risk and Prognosis
• Digital Health Technologies, Wearable Sensors, and Remote Monitoring
• Artificial Intelligence, Machine Learning, and Deep Learning in Healthcare
• Pharmacogenomics and Personalized Therapeutics
• Computational Biology and Bioinformatics for Predictive Modeling
• Epigenetics and Microbiome Research in Health and Disease
• Early Disease Detection and Interception Strategies
• Ethical, Legal, and Social Implications (ELSI) of Precision Medicine
• Population Health and Public Health Applications of Predictive Analytics
• Novel Diagnostic Tools and Imaging Techniques for Precision Health
Article Types
• Original Research Articles
• Review Articles (Narrative, Systematic, and Scoping Reviews)
• Short Communications
• Methodology Papers
• Clinical Case Studies (with significant scientific insights)
• Commentaries and Perspectives
Audience
JPHPM targets a broad international audience including academic researchers, clinicians, bioinformatics specialists, computational scientists, public health professionals, pharmaceutical and biotechnology industry scientists, policymakers, and graduate students with an interest in precision health, predictive medicine, genomics, digital health, and artificial intelligence in medicine.