About the Journal

The Computational Biomedicine Journal is a multidisciplinary new Journal devoted to computational methodologies and biomedical science. In response to the most recent developments and trends in this dynamic field, the journal focuses on cutting-edge research that employs computational techniques such as bioinformatics, data analysis, modelling, simulation, AI and machine learning to study biomedicines, disease processes, and therapeutics. This includes enzymoics, genomics, proteomics, metabolomics, imaging analysis, and personalized pharmaceuticals.

Aims

The journal will publish research/reviews on modelling cellular processes, disease mechanisms, and host-pathogen interactions using computational techniques. The journal seeks original research articles, review articles, methodological papers, letters to Editors, short communications, hot topics/special issues, editorial articles and software applications. In addition, it invites research that applies computational methods to the analysis of large-scale biomedical data and clinical applications of these findings. The Computational Biomedicine Journal promotes open science and reproducibility. It encourages authors to share their code and data sets, nurturing a scientific community based on collaboration. The journal also prioritizes clear and accessible communication of complex computational methods to a broad audience of both computational scientists and biomedical researchers. This journal aims to be a dynamic platform for researchers and practitioners to share ground-breaking discoveries, novel methodologies, and practical applications in the ever-changing landscape of computational biomedicine, addressing the most pressing issues in healthcare and biotechnology.

Scopes

1. Artificial Intelligence in biology and medicine;
2. AI-based biomedical data analysis;
3. New computational platforms and models for biology and biomedicine;
4. Natural language processing in biology and medicine;
5. Data analytics and mining for biomedical decision support;
6. Intelligent and process-aware information systems in healthcare
and medicine;
7. Software for applied bioinformatics;
8. Algorithms for computational biology and medicine;
9. Biomedical applications;
10. Mathematical modeling and simulation;
11. Computational proteomics and proteogenomics;
12. AI-assisted drug design and development.
13. Artificial Intelligence; deep machine learning and simulation studies etc