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

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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• Artificial Intelligence-Driven Prioritization of Combination Therapies for Multigenic Diseases

  Nils Mills, Hego Chambers

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

  Danqing Duan

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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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• Adaptive Signal Processing for Real-Time Heart Rate Variability Analysis During Physical Exercise

  Yuewen Ren, Zachary Hayes

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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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• 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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• 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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• 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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• 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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• 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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• 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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• 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 Assessment Using Wearable Sensors

  Jordan L. Garrett, Albert Gregory, Blake Miles

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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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