About the Journal

Asian Journal of Health Data Science and Bioinformatics (AJHDSB)

The Asian Journal of Health Data Science and Bioinformatics (AJHDSB) is a peer-reviewed, open-access scientific journal dedicated to publishing original research, reviews, and technical reports that explore the intersection of health sciences, data science, and bioinformatics. The journal provides a platform for multidisciplinary collaboration between clinicians, data scientists, biostatisticians, bioinformaticians, and public health professionals to improve healthcare outcomes through data-driven innovations.

AJHDSB  welcomes contributions that offer novel insights, methodologies, or applications across a range of health-related data, including molecular, clinical, epidemiological, and environmental data. The journal prioritizes research that demonstrates translational relevance, reproducibility, and interdisciplinary impact in the biomedical and health domains.

Aims

The aim of AJHDSB is to foster the advancement of health data science and bioinformatics by:

·         Promoting the integration of computational and statistical methodologies in health research.

·         Enabling the translation of large-scale data into actionable insights for clinical and public health decision-making.

·         Encouraging interdisciplinary research that bridges biomedical data with real-world healthcare applications.

·         Supporting open science through the dissemination of reproducible and accessible data-driven research.

Scope

JHDSB invites submissions covering (but not limited to) the following topics:

Health Data Science

Machine learning, AI, and deep learning for health applications

Predictive analytics and precision medicine

Statistical modeling and biostatistics in health research

Health economics and decision science

Natural language processing for clinical texts

Visual analytics and dashboards in digital health

Bioinformatics

Genomics, transcriptomics, proteomics, and metabolomics

Pathway and network analysis

Sequence alignment, gene expression, and functional annotation

Comparative genomics and systems biology

Bioinformatics pipelines and workflow development

Multi-omics data integration

Public Health Informatics

Population health data systems

Disease surveillance and outbreak modeling

Epidemiological modeling and health mapping

Integration of environmental and social determinants of health

Mobile health (mHealth) and telemedicine informatics

Applications and Case Studies

Development of decision-support tools in clinical settings

Data governance, privacy, and ethical frameworks in health data science

Implementation science and digital health interventions

Bench-to-bedside translational bioinformatics