Journal of Biomedical Informatics and AI
Published Articles
Aims and Scope
The Journal of Biomedical Informatics and AI publishes research at the
intersection of artificial intelligence, computational biology, and
data-driven medicine. The journal emphasizes methodological advances
and applications that transform biomedical data into clinically
actionable knowledge.
Rapid advances in artificial intelligence, multi-omic technologies,
and large-scale biomedical data integration are reshaping the
practice of medicine. The journal provides a venue for research
that combines biological insight with advanced computational methods.
Areas of Interest
- Machine learning and deep learning in medicine
- Generative protein design and AI-driven drug discovery
- Multi-omic data integration including genomics,
transcriptomics, metabolomics, and spatial transcriptomics
- Explainable AI for clinical decision systems
- Personalized oncology and AI-guided therapeutic design
- Pangenomics and population-scale genomic analysis
- Graph neural networks and biological interaction networks
- Computational modeling of cellular and molecular systems
- Synthetic biology and programmable gene circuits
- AI-driven biomedical data pipelines and automated discovery systems
Article Types
- Original Research Articles
- Review Articles
- Mini-reviews
- Methods Papers
- Editorials
- Perspective Articles
Open Access Policy
All articles are published open access under the Creative Commons CC BY 4.0 license.
During the launch phase the article processing charge is $0.