Bioinformatics Insights and Analytics

Computational Insights for Biological and Biomedical Research

An open access scholarly journal spanning bioinformatics, computational biology, biomedical data science, and intelligent healthcare analytics.

Research Areas

Bioinformatics
Computational Biology
Genomics
Multi-omics
Precision Medicine
Health Informatics

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Current Issue

Vol. 1 No. 2 (2026): Bioinformatics Insights and Analytics

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Published Issue

Vol. 1 No. 2 (2026): Bioinformatics Insights and Analytics

Published: 30 June 2026

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View Vol. 1 No. 2 (2026): Bioinformatics Insights and Analytics

Published: 2026-06-30

Articles

Federated Deep Learning for Privacy-Preserving Prostate Cancer Diagnosis from Multicenter Multiparametric MRI Data

Xuanxinyu Peng, Kegang Zhao
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Adaptive Signal Processing and Machine Learning for Long-Term Remote Patient Monitoring

Jerome R. Perry, Anton M. Graves
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Personalized Healthcare Recommendation Systems Based on Patient Narratives and Large Language Model-Based Self-Representation Learning

Arjun Kerhra, Dustin Page
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Computational Systems Biology for Decoding Synergistic Therapeutic Mechanisms in Complex Biological Systems

Mason Little, Nils J. Wagner
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An Explainable AI Framework Integrating Traditional Chinese Medicine Knowledge Graphs and Digital Biomarkers for Personalized Edible Herbal Formula Recommendations in Chronic Disease Management

Isaac D. Sanders, Manav Gendhe, Cesar A. Fox
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Building Energy Efficiency, Ventilation Strategies, and Indoor VOC Accumulation: A Data-Driven Assessment

Miguel Burton, Brooks D. Hughes
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AI-Driven Spatiotemporal Modeling of Environmental Radiation Exposure and Respiratory Health Risk in Vulnerable Populations

Mark A. Rao, Guangqin Qian
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Artificial Intelligence-Driven Prioritization of Combination Therapies for Multigenic Diseases

Nils Mills, Hego Chambers
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AI-Guided Multi-Omics Risk Prediction of Foodborne Pathogen–Induced Metabolic Dysregulation: Integrating Gut Microbiome Signatures, Natural Polysaccharide Intervention, and Rapid Microbial Detection Frameworks

Aape Kerhonan
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AI-Driven Indoor Air Quality Prediction and Health Risk Assessment of Volatile Organic Compounds

Danqing Duan
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Dietary Polysaccharides and Host–Microbiota Interactions: Emerging Strategies for Precision Nutrition in Metabolic Disorders

Abhishek Hegde, Enzo A. Gonzalez
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Adaptive Signal Processing for Real-Time Heart Rate Variability Analysis During Physical Exercise

Yuewen Ren, Zachary Hayes
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Computational Systems Biology for Revealing Multi-Target Mechanisms of Traditional Herbal Medicines in Immune Regulation

Keyao Bai, Maxime R. Lehtonen, Fengjing Yang
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Multi-Omics Network Analysis for Mechanism-Based Discovery of Natural Product Therapeutics

Shansiyuan Wu, Pradeep M. Anand, Andres M. Beck, Anirudh L. Basu
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Integrative Bioinformatics Analysis of Herbal Compound–Target Interactions in Precision Medicine

Pierre Erickson, Cesar Doez
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Explainable Artificial Intelligence for Mechanism-Based Discovery of Multi-Component Herbal Therapies

Ananya Parekh
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AI-Based Stress and Fatigue Recognition Using Multimodal Wearable Physiological Signals

Jesper Diaz, Jean L. Walters, Sagar C. Verma, Umesh D. Dutta
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Graph Neural Networks for Predicting Drug–Target Interactions and Synergistic Therapeutic Combinations

Ishaan C. Prasad, Jean Meraleis
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Digital Health Monitoring with AI-Based Physiological Signal Interpretation in Real-World Environments

Paul M. Sanders, Leo Cook, Lixu Peng
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Knowledge Graph Construction for Systematic Discovery of Bioactive Compounds and Therapeutic Targets in Natural Products

Akash A. Melhetria, Jeramy J. Beiley
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Network-Based Discovery of Multi-Target Therapeutic Strategies for Complex Inflammatory Diseases

Gareld Breen, Hristephir Glark, Rehit Nekherjee, Aarav Natarajan
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Integrating Explainable Machine Learning and Environmental Epidemiology to Predict Acute Pulmonary Function Decline Associated with Ambient Particle Gamma Radiation Exposure

Banjemin J. Lepozai, Botianyi Xiong
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Edge AI for Real-Time Health Monitoring with Resource-Constrained Wearable Sensors

Ruiyu Fang, Rainer M. Ryan
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Multimodal Explainable AI for Healthcare Resource Allocation and Patient Risk Stratification: Integrating Graph Representation Learning with Clinical Decision Support

Matthias R. Bryant, Jossae Parker, Neeraj Natarajan
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Green Building Materials, Residential VOC Emissions, and Carbon-Neutral Healthy Housing: A Sustainability-Oriented Assessment

Reid Freanklan
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Network Pharmacology and Molecular Docking-Based Investigation of Herbal Compounds Against Cancer-Related Signaling Pathways

Bnaind Maliek, Parth Kapoor, Krish Trivedi
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Cloud-Edge Collaborative Computing for Scalable Real-Time Wearable Health Data Analytics

Ananya Mahajan, Rowan Lyons, Neil C. Ryan
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Energy-Efficient Algorithms for Continuous Physiological Monitoring in Resource-Constrained Wearable Devices

Sean L. Riley, Zachary Boleman
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Mamba-Based Multi-Modal Fusion for Personalized Diagnosis in Precision Medicine

Songyuan Wang, Damien Wells, Hugo Marshall
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Multi-Modal Large Language Model-Guided Discovery of Gut Microbiota-Targeting Plant Polysaccharides for Precision Intervention in Metabolic Dysfunction-Associated Steatotic Liver Disease

Andries Heffman, Aarav Mathur, Shandan He
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Multi-Omics Analysis of Plant Bioactive Compounds in the Regulation of Insulin Resistance and Intestinal Microbial Ecology

Dean Gutierrez, Roy Ramirez, Gduard Ramos, Seagear Khanna
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Explainable AI for Tracing Botanical Origin and Quality Markers of Traditional Herbal Medicines

Ishaan Mendoza, Pierre Burns, Guoran He
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Multi-Scale State Space Modeling for Microscopic Image Classification in Digital Pathology

Vimal Chakraborty, Leonard R. Wilson, Andreas Thornton, Emmett Cox
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Explainable Artificial Intelligence for Activity-Aware Cardiovascular State Assessment Using Wearable Sensors

Jordan L. Garrett, Albert Gregory, Blake Miles
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Multimodal Clinical Decision Support Using Vision-Language Models for Robust Gastrointestinal Disease Diagnosis and Medical Report Generation

Weicheng Shao, Abhay Subramanian, Bilal Bailey
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Explainable Artificial Intelligence for Activity-Aware Cardiovascular State Estimation from Wearable Signals

Rowan R. Gonzalez, Zhantian He, Akshay R. Gandhi
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Self-Supervised Mamba Representation Learning for Generalizable Medical Image Analysis

Stanley Carlson, Aamir Murthy, Ralph Zimmerman
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Vision Mamba for Automated Classification of Retinal Diseases from Fundus Images

Taoqing Fu, Nicolas L. Chambers, Pedro Greene
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Federated Learning for Privacy-Preserving Personalized Cardiovascular Monitoring with Wearable Sensors

Edwin R. Jorgensen
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Intelligent Identification of Plant-Derived Biomass Components for Pharmaceutical and Biorefinery Applications

Neikhil Methur, Deminak Backer
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Machine Learning-Based Continuous Blood Pressure Estimation Using Noisy Photoplethysmography Signals

Deminik Neal, Dustin Koskinen, Florian Watson
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Mamba-Enhanced Vision-Language Framework for Intelligent Polyp Detection and Clinical Endoscopy Report Generation

Hector Page, Brendan C. Perry
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Multi-Omics Data Fusion and Artificial Intelligence for Phylogenetic Classification of Medicinal Plant Resources

Anel Melik, Zachary Fleming, Karan C. Menon, Malcolm M. Jarvinen
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Multimodal Generative AI for Missing Physiological Data Imputation in Long-Term Health Monitoring

Rohit Basu, Emile C. Cox, Larry Ortega
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Personalized Machine Learning for Exercise Recovery Assessment Using Continuous Wearable Sensor Data

Dominik A. Schwartz, Meiqiu Guo, Leon L. Dawson, Finn Cox
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Reinforcement Learning-Based Adaptive Noise Suppression for Real-Time Biomedical Signal Processing

Florian Wells, Jingtian Sheng, Wenhaozhi Yu, Janis Lawson
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Robust Feature Learning for Stress and Fatigue Recognition from Noisy Wearable Physiological Signals

Anish J. Saxena, Stefano Weber
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Self-Supervised Representation Learning for Motion-Resilient Wearable Biosignal Analysis

Langcong Gao, Fernando J. Virtanen
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Spectroscopic Machine Learning for Rapid Discrimination and Quality Assessment of Salvia Medicinal Resources

Petri A. Bailey
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Transformer-Based Detection of Cardiac Arrhythmias from Ambulatory Photoplethysmography Signals

Claude Johansson, Ravi C. Naidu, Maxime J. Fleming, Jerome M. Burton
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The Journal

About the Journal

Bioinformatics Insights and Analytics is an international peer-reviewed journal dedicated to advancing interdisciplinary research at the intersection of bioinformatics, computational biology, artificial intelligence, and data-driven biomedical analytics. The journal publishes high-quality original research, review articles, and applied studies covering areas such as genomic data analysis, machine learning in healthcare, systems biology, precision medicine, biomedical signal processing, and AI-assisted clinical decision systems.

The journal aims to provide a global platform for researchers, academics, engineers, and healthcare professionals to share innovative methodologies, computational frameworks, and analytical techniques that support modern biological and medical research. Emphasis is placed on scientifically rigorous, reproducible, and impactful studies that contribute to the advancement of intelligent biomedical technologies and translational healthcare applications.

Bioinformatics Insights and Analytics operates under a double-blind peer review process and is committed to maintaining high academic and ethical publishing standards through transparent editorial practices and international scholarly collaboration.

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Published articles are freely accessible online.

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