Journal of Precision Medicine and Artificial Intelligence

Highlights

Journal of Precision Medicine and Artificial Intelligence (JPMedAI)

"Advancing precision medicine through AI-powered innovation in healthcare."
JPMedAI is an international, open-access, peer-reviewed journal publishing cutting-edge research on the integration of AI into precision medicine. Topics include machine learning in diagnostics, predictive analytics, biomarker-driven therapies, robotic surgery, and AI in medical education. Our mission is to accelerate innovation that delivers personalised, effective, and equitable healthcare worldwide.

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Current Issue

Preprints / Articles in Press

This repository contains preliminary scientific reports that have not yet undergone formal peer review. They should not be considered conclusive or used to guide clinical practice.

Published: 08-06-2026

Preprints

Systematic Feature Ablation and SHAP Interpretability Reveal a Four-Gene Transcriptomic Host-Response Signature for Mortality Prediction in Sepsis: A Two-Cohort Machine Learning Study SHAP Ablation Reveals Four-Gene Sepsis Mortality Signature

Simbarashe G. Magwenzi (Author)
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A Conserved Fibrinogen and Immune Evasion Gene Signature Predicts Mortality Across Lung Cancer Histological Subtypes: An Interpretable Machine Learning Discovery Study Fibrinogen and Immune Evasion Predict Lung Cancer Mortality

Simbarashe G. Magwenzi (Author)
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Beyond Single Biomarkers: Multimodal Machine Learning for Precision Medicine Across Clinical Specialties Multimodal Machine Learning in Precision Medicine

Simbarashe G. Magwenzi (Author)
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Machine Learning in Precision Oncology: Integrating Multimodal Clinical Data for Treatment Selection Machine Learning in Precision Oncology

Simbarashe G. Magwenzi (Author)
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CRP Predicts Biochemical but Not Clinical Remission in Ustekinumab-Treated Crohn's Disease: A Remission-Specific Whole-Blood Transcriptomic Signature Transcriptomic biomarkers for ustekinumab response in Crohn's disease

Simbarashe G. Magwenzi (Author)
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The Journal of Precision Medicine and Artificial Intelligence (JPMedAI) is an international, open-access, peer-reviewed journal dedicated to advancing the integration of artificial intelligence into clinical and translational medicine. Our mission is to showcase innovative research that enables personalized healthcare, informed decision-making, and improved patient outcomes.

JPMedAI welcomes high-quality contributions across a broad spectrum of topics, including:

AI in clinical and biomedical research
Machine learning for decision support and diagnosis
AI-driven drug discovery and treatment optimization
Robotic surgery and smart health systems
Data analytics, mining, and laboratory information systems
AI in medical education and digital biomarkers

Call for Submissions – Inaugural Issue

We are currently inviting manuscripts for our first volume. To encourage early contributions, Article Processing Charges (APCs) are fully waived during the launch period.

All submissions undergo a rigorous peer-review process, following the highest standards of research ethics and transparency (COPE, ICMJE). Authors retain full rights to their work under a CC BY 4.0 License, ensuring global access and visibility.

Why Publish with JPMedAI?

Immediate open-access publication with worldwide reach
Indexed-ready workflows to support inclusion in Scopus, Web of Science, PubMed, and DOAJ
Experienced editorial board at the intersection of medicine and artificial intelligence
Rapid but thorough peer review
Waived APCs for our launch phase

Submit your manuscript today and be part of shaping the future of precision medicine through AI.

Submit a Manuscript

Journal of Precision Medicine and Artificial Intelligence

Highlights