About the Journal

Computational & Statistical Medicine Review (CSMR) is an open-access, peer-reviewed journal dedicated to publishing high-quality research that advances the application of computational modeling, data analytics, and statistical methodologies in medical and health sciences. The journal provides a global platform for data scientists, medical researchers, and biostatisticians to share innovations that enhance clinical decision-making, disease modeling, and healthcare outcomes.

CSMR aims to bridge the gap between computational science and medicine by promoting interdisciplinary collaboration in bioinformatics, biostatistics, machine learning, and digital health technologies. The journal encourages contributions that develop novel analytical tools, predictive models, and computational frameworks for biomedical research and clinical translation.

The journal welcomes original research, methodological papers, and applied studies focusing on computational and statistical approaches in medicine and healthcare. Areas of interest include (but are not limited to):

• Computational modeling and simulation in medical research
• Statistical analysis, predictive modeling, and data mining in healthcare
• Machine learning, artificial intelligence, and deep learning in diagnostics
• Bioinformatics, systems biology, and network analysis
• Clinical trial design, biostatistics, and data interpretation
• Biomedical signal and image processing
• Computational genomics, proteomics, and metabolomics
• Epidemiological modeling and public health informatics
• Precision medicine and personalized health analytics
• Decision support systems and digital healthcare innovation

CSMR is published under an open-access model, ensuring free and unrestricted access to all articles for researchers, healthcare professionals, and data scientists worldwide.

The journal operates under the Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing readers to read, share, and reproduce material in any medium, provided the original work is properly cited.

View CC BY 4.0 License

All manuscripts submitted to CSMR undergo a rigorous double-blind peer-review process to ensure the highest standards of scientific accuracy, originality, and ethical integrity.

The editorial board comprises distinguished experts in computational biology, statistics, medical informatics, and applied mathematics who are committed to promoting transparency and excellence in scholarly publishing.

• Original Research Articles
• Review and Systematic Studies
• Methodological and Technical Papers
• Case Studies and Applied Research Reports
• Short Communications and Commentary Articles