This journal focuses on the application of data science and artificial intelligence to address challenges in biomedical research and healthcare. It covers topics such as the analysis of genetic and molecular data, the use of electronic health records, and the development of computational models for disease prediction and understanding. The scope also includes ethical considerations, data privacy, and the integration of diverse data types for advancing precision medicine and improving health outcomes.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Biochemistry, Genetics and Molecular Biology (miscellaneous)Q1
Biomedical EngineeringQ1
Cancer ResearchQ1
GeneticsQ1
Subject Classification
Web of Science Categories
Mathematical & Computational Biology
Scopus Categories
GeneticsBiochemistry, Genetics and Molecular Biology (miscellaneous)Cancer ResearchBiomedical Engineering
Research Topics (OpenAlex)
Single-cell and spatial transcriptomicsGenetic Associations and EpidemiologyBioinformatics and Genomic NetworksArtificial Intelligence in Healthcare and EducationCell Image Analysis TechniquesMachine Learning in HealthcareGene expression and cancer classificationCancer Genomics and DiagnosticsBiomedical Text Mining and OntologiesComputational Drug Discovery Methods