Aims & Scope

Journal of Bio-Intelligence (JBI)

The Journal of Bio-Intelligence (JBI) is an international, peer-reviewed, open-access scholarly journal dedicated to advancing research at the intersection of biological sciences, computational intelligence, artificial intelligence, and data-driven innovation. The journal provides a multidisciplinary platform for the dissemination of high-quality research that integrates intelligent computational approaches with biological and biomedical sciences to address complex scientific and societal challenges.

As biological systems become increasingly understood through computational methods, the need for interdisciplinary collaboration continues to grow. The Journal of Bio-Intelligence seeks to bridge traditional disciplinary boundaries by publishing research that combines biological knowledge with advanced computational techniques, enabling new discoveries, improved analytical methods, and innovative applications across the life sciences.

The journal welcomes original contributions that present significant scientific advances, methodological innovations, theoretical developments, computational frameworks, translational research, and practical applications that enhance understanding of biological systems or improve decision-making in biological, biomedical, agricultural, environmental, and healthcare domains.

Aims

The Journal of Bio-Intelligence aims to:

Publish scientifically rigorous, original, and impactful research that advances the integration of biological sciences with artificial intelligence and computational methodologies.
Promote interdisciplinary collaboration among researchers in biology, medicine, computer science, engineering, mathematics, data science, and related disciplines.
Encourage the development of intelligent computational models that improve biological discovery, disease understanding, healthcare delivery, biotechnology, and environmental sustainability.
Support research that enhances the analysis, interpretation, and visualization of complex biological and biomedical data.
Foster innovation in intelligent algorithms, computational tools, and digital technologies for biological and medical applications.
Advance reproducible, transparent, and ethically conducted research that contributes to scientific progress and public benefit.
Provide an inclusive international platform for researchers, educators, clinicians, and industry professionals to exchange knowledge and promote collaborative scientific advancement.
Encourage the translation of computational discoveries into practical biological, clinical, industrial, and societal applications.

Scope

The Journal of Bio-Intelligence publishes high-quality research across a broad range of interdisciplinary topics, including but not limited to:

Artificial Intelligence in Life Sciences

Artificial Intelligence for Biological Research
Machine Learning in Biology
Deep Learning Applications in Life Sciences
Explainable Artificial Intelligence (XAI)
Knowledge-Based Intelligent Systems
Reinforcement Learning for Biological Applications
Intelligent Decision Support Systems
Natural Language Processing for Biomedical Information
Intelligent Scientific Computing

Computational Biology and Bioinformatics

Computational Biology
Bioinformatics
Structural Bioinformatics
Comparative Genomics
Functional Genomics
Transcriptomics
Proteomics
Metabolomics
Lipidomics
Multi-omics Data Integration
Sequence Analysis
Biological Network Analysis
Systems Biology
Evolutionary Biology and Computational Evolution
Phylogenetic Analysis

Biomedical Informatics and Digital Health

Biomedical Informatics
Clinical Informatics
Health Informatics
Medical Decision Support
Electronic Health Record Analytics
Precision Medicine
Personalized Healthcare
Population Health Analytics
Public Health Intelligence
Digital Health Technologies
Mobile Health (mHealth)
Telemedicine
Intelligent Healthcare Systems

Medical Imaging and Diagnostics

Medical Image Analysis
Computer Vision in Medicine
Radiomics
Pathology Image Analysis
Diagnostic Intelligence
Image-Guided Clinical Applications
Biomedical Signal Processing
Wearable Health Monitoring
Intelligent Medical Devices

Biotechnology and Biomedical Engineering

Biotechnology
Synthetic Biology
Computational Biotechnology
Biomolecular Engineering
Bioprocess Engineering
Tissue Engineering
Regenerative Medicine
Biomaterials
Biosensors
Biomedical Devices
Intelligent Laboratory Automation

Drug Discovery and Pharmaceutical Intelligence

AI-Assisted Drug Discovery
Drug Repurposing
Pharmacogenomics
Computational Pharmacology
Molecular Modeling
Protein Structure Prediction
Molecular Docking
Drug Target Identification
Pharmaceutical Data Analytics
Clinical Trial Analytics

Agriculture and Environmental Bio-Intelligence

Precision Agriculture
Agricultural Informatics
Smart Farming Technologies
Crop Intelligence
Plant Genomics
Livestock Informatics
Environmental Monitoring
Ecological Modeling
Biodiversity Informatics
Climate and Ecosystem Intelligence
Sustainable Agricultural Technologies

Neuroscience and Cognitive Intelligence

Computational Neuroscience
Brain Informatics
Neuroimaging Analysis
Brain–Computer Interfaces
Cognitive Computing
Neural Signal Analysis
Intelligent Neurotechnologies

Biological Data Science

Biological Big Data Analytics
Data Mining in Life Sciences
Statistical Learning
Predictive Modeling
Biological Knowledge Discovery
Biological Data Visualization
Cloud Computing for Biology
High-Performance Computing
Scientific Workflow Systems

Emerging Areas

The journal also welcomes research in emerging and interdisciplinary fields, including:

Quantum Computing for Biological Sciences
Digital Twins in Healthcare
Bio-inspired Computing
Intelligent Robotics in Healthcare
Human–AI Collaboration in Biological Research
Responsible Artificial Intelligence
Ethical AI in Healthcare
Federated Learning for Biomedical Applications
Edge AI in Medical Systems
Digital Biology
One Health Informatics
Pandemic Intelligence
Computational Epidemiology

Types of Contributions

The Journal of Bio-Intelligence welcomes submissions in the following categories:

Original Research Articles
Review Articles
Systematic Reviews
Meta-Analyses
Short Communications
Technical Notes
Methods and Protocol Papers
Software and Database Articles
Data Papers
Perspective Articles
Opinion Papers
Case Studies
Editorials
Letters to the Editor
Invited Articles

Interdisciplinary Focus

The Journal of Bio-Intelligence particularly encourages research that integrates expertise across multiple disciplines. Contributions combining biology with computer science, medicine, engineering, mathematics, statistics, physics, chemistry, environmental science, agriculture, or biotechnology are especially welcomed. Such interdisciplinary research plays a vital role in advancing scientific discovery and addressing complex challenges through innovative, data-driven approaches.

Commitment to Scientific Quality

All submitted manuscripts are evaluated based on their originality, scientific significance, methodological rigor, ethical compliance, clarity of presentation, and contribution to existing knowledge. Editorial decisions are made independently through a fair, objective, and confidential peer-review process, with the goal of publishing research that advances the field and benefits the global scientific community.

The Journal of Bio-Intelligence is committed to fostering excellence in scholarly communication by promoting integrity, transparency, reproducibility, and responsible research practices across all areas within its scope.