Aim and scope

Aim & Scope

Computational & Statistical Medicine Review (CSMR) is an open-access, peer-reviewed journal that publishes high-quality research, methodological advances, and applied studies at the intersection of computational science, statistics, and medicine. The journal provides a multidisciplinary platform for data scientists, clinicians, and medical researchers to share innovations that improve healthcare analytics, disease modeling, and evidence-based decision-making.

Its core mission is to promote interdisciplinary collaboration by integrating computational modeling, biostatistics, and medical data science. The journal aims to advance the use of artificial intelligence, machine learning, and statistical inference to enhance clinical diagnosis, treatment planning, and public health research through robust, data-driven methodologies.

The journal welcomes contributions on a broad range of topics, including but not limited to:

• Computational modeling, simulation, and algorithm development in medicine

• Statistical methods and biostatistical applications in clinical research

• Machine learning, deep learning, and AI applications in medical diagnostics

• Bioinformatics, systems biology, and network medicine

• Big data analytics and predictive modeling in healthcare

• Biomedical image analysis and pattern recognition

• Clinical trial design, biostatistics, and data interpretation

• Computational genomics, proteomics, and multi-omics integration

• Epidemiological modeling and population health analytics

• Decision support systems and digital transformation in healthcare

We invite submissions in the form of original research articles, review papers, technical notes, and short communications. All manuscripts should aim to advance the computational and statistical foundations of modern medicine while enhancing the accuracy, efficiency, and impact of medical research and clinical practice.