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
- PDF
Personalized Healthcare Recommendation Systems Based on Patient Narratives and Large Language Model-Based Self-Representation Learning

Arjun Kerhra, Dustin Page
- PDF
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
- PDF
AI-Driven Spatiotemporal Modeling of Environmental Radiation Exposure and Respiratory Health Risk in Vulnerable Populations

Mark A. Rao, Guangqin Qian
- PDF
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
- PDF
Dietary Polysaccharides and Host–Microbiota Interactions: Emerging Strategies for Precision Nutrition in Metabolic Disorders

Abhishek Hegde, Enzo A. Gonzalez
- PDF
Computational Systems Biology for Revealing Multi-Target Mechanisms of Traditional Herbal Medicines in Immune Regulation

Keyao Bai, Maxime R. Lehtonen, Fengjing Yang
- PDF
Explainable Artificial Intelligence for Mechanism-Based Discovery of Multi-Component Herbal Therapies

Ananya Parekh
- PDF
Graph Neural Networks for Predicting Drug–Target Interactions and Synergistic Therapeutic Combinations

Ishaan C. Prasad, Jean Meraleis
- PDF
Knowledge Graph Construction for Systematic Discovery of Bioactive Compounds and Therapeutic Targets in Natural Products

Akash A. Melhetria, Jeramy J. Beiley
- PDF
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
- PDF
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
- PDF
Green Building Materials, Residential VOC Emissions, and Carbon-Neutral Healthy Housing: A Sustainability-Oriented Assessment

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

Bnaind Maliek, Parth Kapoor, Krish Trivedi
- PDF
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
- PDF

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

Articles

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

Personalized Healthcare Recommendation Systems Based on Patient Narratives and Large Language Model-Based Self-Representation Learning

An Explainable AI Framework Integrating Traditional Chinese Medicine Knowledge Graphs and Digital Biomarkers for Personalized Edible Herbal Formula Recommendations in Chronic Disease Management

AI-Driven Spatiotemporal Modeling of Environmental Radiation Exposure and Respiratory Health Risk in Vulnerable Populations

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

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

Computational Systems Biology for Revealing Multi-Target Mechanisms of Traditional Herbal Medicines in Immune Regulation

Explainable Artificial Intelligence for Mechanism-Based Discovery of Multi-Component Herbal Therapies

Graph Neural Networks for Predicting Drug–Target Interactions and Synergistic Therapeutic Combinations

Knowledge Graph Construction for Systematic Discovery of Bioactive Compounds and Therapeutic Targets in Natural Products

Integrating Explainable Machine Learning and Environmental Epidemiology to Predict Acute Pulmonary Function Decline Associated with Ambient Particle Gamma Radiation Exposure

Multimodal Explainable AI for Healthcare Resource Allocation and Patient Risk Stratification: Integrating Graph Representation Learning with Clinical Decision Support

Green Building Materials, Residential VOC Emissions, and Carbon-Neutral Healthy Housing: A Sustainability-Oriented Assessment

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

Multi-Modal Large Language Model-Guided Discovery of Gut Microbiota-Targeting Plant Polysaccharides for Precision Intervention in Metabolic Dysfunction-Associated Steatotic Liver Disease

Multi-Omics Analysis of Plant Bioactive Compounds in the Regulation of Insulin Resistance and Intestinal Microbial Ecology

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