The journal welcomes submissions across — but not limited to — the following areas:

• Biomedical data science, machine learning, and predictive modelling in clinical settings
• Electronic health records (EHR): interoperability, data quality, and secondary use
• AI-assisted clinical decision support systems and diagnostic algorithms
• Digital health technologies, mHealth, and wearable sensor applications
• Public health informatics and epidemiological surveillance systems
• Genomics, proteomics, and multi-omics data integration
• Natural language processing applied to clinical text and literature
• Health information standards, ontologies, and knowledge representation
• Medical imaging informatics and computational pathology

• Original Research — Empirical studies reporting novel findings
• Systematic Review & Meta-Analysis — Rigorous synthesis of existing evidence
• Methods & Software — Novel algorithms, pipelines, or tools with validation
• Clinical Case Report — Informatics-driven case studies with educational value
• Perspective & Commentary — Expert views on emerging topics or policy issues
• Data Descriptor — Detailed descriptions of curated, openly available datasets

All submissions undergo single-anonymous peer review conducted by at least two independent domain experts. The editorial board is committed to transparent, constructive, and timely review — target first decision within 6 weeks of submission.

Life Conflux adheres to the COPE (Committee on Publication Ethics) guidelines and requires all clinical research to comply with applicable ethical standards and reporting guidelines (CONSORT, STROBE, PRISMA, etc.).