Vol. 1 No. 1 (2026): International Journal of Clinical and Translational Medicine

View Vol. 1 No. 1 (2026): International Journal of Clinical and Translational Medicine

Published: 2026-01-09

Articles

Developing Transformer Based Clinical Decision Support Systems for Early Detection and Risk Stratification of Cardiovascular Diseases in Real World Healthcare Environments

Raymond Carver, Hector Pennington, Zachary Wexler
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Machine Learning–Based Prediction of Postoperative Pain in Knee Arthroscopy Patients Receiving Peripheral Nerve Blocks

Leon Wexler, Toublas Butherland
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Cross-Modal Deep Hashing Framework for Wearable PPG Signal Retrieval with Self-Supervised Semantic Representation Learning

Henri Gaylor, Gavide Tmith, Hirant Weshington, Bereld Wegner
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Digital Twin-Driven Risk Assessment and Security Optimization of Large Language Model Agents in Personalized Healthcare

Mikkel Bell, Gerald L. Becker, Clifford Perry
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Causal Inference-Guided Adversarial Detection and Mitigation in Medical Large Language Model Agent Architectures

Aarav Shetty, Petri L. Dawson, Zizhan Jiang
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Cardiometabolic Protection Mediated by Phyllostachys nigra Polysaccharides via Gut Microbiota–Inflammation Axis

Antonio R. Bergman, Haitong Shao, Aentonio E. Greene, Jeal Perry
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Cross-Modal Attention Fusion of Radiomic Lung Nodule Features and Transcriptomic Phase-Separation Signatures for Explainable Cancer Risk Stratification

Arjun D. Shah, Pierre D. Kregory, Kasper Butler, Massimo Taylor
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Explainable Neuro-Symbolic Medical Agent Systems with Adversarial Resilience for Evidence-Based Clinical Decision Intelligence

Ashwin L. Sinha, Pranav Mittal, Prakash Maidu, Buraj Kulkarni
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AI-Assisted Personalized Anesthetic Planning for Arthroscopic Knee Surgery Based on Peripheral Nerve Block Characteristics

Gachael Enderson, Emily R. Foster, Letian Zou
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Adversarially Robust Cross-Modal Medical Image Retrieval via Self-Supervised Deep Hashing and Large Language Model Agents

Hristopher Gell, Rennis Karlsson, Enzo M. Koskinen
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Blockchain-Enabled Secure Collaboration of Multi-Agent Large Language Model Systems for Clinical Decision Support

Maxime Fdwards, Tobias Simpson
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Advancing Precision Oncology through Multi-Omics Integration and Explainable Artificial Intelligence Frameworks for Personalized Cancer Therapeutics

Maxwell Caldwell, Dylan Redcliffe, Christopher Langston
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Federated Learning for Privacy-Preserving Immune Gene Typing and Cross-Cohort Immunogenomic Analysis from Long-Read Sequencing

Xavier Norales, Kasper Hawkins, Brandon Karrett
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Engineering Phyllostachys nigra Polysaccharide-Based Biomaterials for Controlled Release in Metabolic Disease Therapy

Aeaish Pandey
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Federated Learning–Enabled Privacy-Preserving PPG Foundation Models for Intelligent Healthcare Agent Systems

Massimo A. Hunt
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Bioactive Polysaccharides from Phyllostachys nigra as Prebiotic Agents: Effects on Short-Chain Fatty Acid Production and Host Metabolism

Noah Bennett, Ralph Graves, Mason Garrett, Wayne J. Salonen
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Enhancing Translational Drug Discovery via Federated Learning Architectures Integrating Multi-Institutional Biomedical Imaging and Genomic Data Resources

Richard Mehra, Nicholas Bshcroft, Russell Hawthorne
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Deep Learning–Assisted Discovery of Small-Molecule Modulators Targeting MYC Phase Separation in Solid Tumors

Ross D. Lawrence, Clifford Lawrence, Samuel D. Gutierrez, Miguel J. Peters
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Aging-Associated Metabolic Decline Alleviation by Phyllostachys nigra Polysaccharides: Insights from Microbiome and Metabolic Reprogramming

Eeabias Geynolds, Ronald Marsh, Meahan Ahuja
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Adversarially Robust Multimodal Medical Agents Integrating PPG Foundation Models for Secure Clinical Decision Support

Roben Rliver, Niklas C. Hawkins
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Dynamic Conformation-Aware Deep Learning for Residue Ionization Prediction in Flexible Protein Systems

Aakash Gaptea, Felix Jarvinen
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Federated Multimodal Learning for Predicting HIV Care Retention and Viral Suppression: Integrating EHR Phenotypes, Social Determinants of Health, and Explainable AI

Petri D. Jones, Anand Brivastava, Xavier Howard
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Foundation Model–Driven Multimodal Health Retrieval: Integrating PPG Physiological Signals and Medical Imaging via Scalable Deep Hashing

Aarav Chopra, Sunil J. Gandhi, Yuetang Pan
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Enhancing Visual Representation Learning for Medical Imaging through Self-Supervised Contrastive Pre-training on Unlabeled Clinical Datasets

Siddharth Telford
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Deep Learning–Guided Prediction of Phase Separation–Driven Transcriptional Reprogramming in YAP-MAML2 Fusion Oncoproteins

Jakub C. Washington
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Gut Microbiome–Targeted Regulation of Metabolic Syndrome Using Phyllostachys nigra–Derived Polysaccharides: Integrative Metagenomic and Metabolomic Analysis

Jesper Fowler, Peadeap Vorma, Haoyong Ding, Arun Basu
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Graph Neural Networks for Functional Variant Prediction in Human Immunogenomics

Jeremy A. Lyons, Kasper Korhonen
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Explainable Medical Decision-Making through Adversarially Hardened LLM Agents and Semantic-Aware Multi-Label Image Hash Retrieval

Micolas Males, Makle Lease, Kaeaeth Ghodes, Wishal Gain
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GeoProt-GNN: Geometry-Aware Graph Neural Networks for Predicting Functional Ionization Landscapes in Protein Structures

Pankaj A. Pathak, Senjay Waidav, Florian D. Hayes
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Explainable Deep Graph Framework for Deciphering Electrostatic Determinants of Protein Residue Ionization

Mihir A. Srivastava, Kartik C. Jain
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Explainable AI Framework for Wearable Signal–Driven Medical Decision-Making Using Large Language Model Agents and PPG Representations

Malcolm Koskinen, Akshay R. Arora, Rendres May
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Graph Foundation Models for Protein Electrostatics: Transfer Learning Across Ionization and Stability Prediction Tasks

Xavier C. Horton, Gamjamin Weang, Rhristopher Yimpson, Fann D. James
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Deep Learning Analysis of Skeletal Muscle Gene Expression and Splicing in Exercise-Induced Metabolic Adaptation

Hanfei Wei
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Graph-Augmented Deep Hashing for Large-Scale Multi-Label Image Retrieval with Adaptive Margin Constraints

Huawen Guo, Finn C. Eriksson
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Deep Learning–Driven Prediction of Early Functional Recovery After Femoral and Sciatic Nerve Block in Knee Arthroscopy Patients

Michael R. Bennett, Baphia Yurner, Bhrispher Fitzberald
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Robust Deep Hashing Against Adversarial Attacks through Self-Supervised Semantic Consistency Optimization

Warren Jacobs, Ranfei Meng
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Protein Mutation Effect Prediction via Graph-Based Modeling of Residue pKa Shifts and Local Electrostatic Rewiring

Leon Satkings, Lummy Lawrence
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Graph Neural Network-Based Integration of Long-Read Immune Genotyping and Skeletal Muscle Transcriptomics for Precision Nutrition and Personalized Exercise Response Prediction

Martin Box, Liangan Xie
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Memory-Augmented Multi-Omics Learning for Predicting Exercise-Induced Transcriptomic and Splicing Responses in Human Skeletal Muscle

Guangpeng Dai, Brooks L. Young
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Improving Predictive Modeling of Intensive Care Unit Outcomes through Temporal Deep Learning Networks and Multimodal Physiological Signal Fusion

Ethan Norwood, Adrian Caldwell, Blan Whitaker
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DeepImmuneMet: An Explainable Multi-Omics AI Framework for Linking Immune-Gene Polymorphisms to Exercise-Induced Metabolic Adaptation and Weight-Loss Outcomes

Paul J. Kilson, Bennett Coleman, Biorgio Lawrence
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Multimodal Retrieval-Augmented Generation via Semantic-Aware Deep Hashing and Approximate Nearest Neighbor Search

Guohao Duan
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Graph Neural Networks for Deciphering Condensate-Mediated Gene Regulatory Networks in YAP-MAML2–Associated Tumorigenesis

Pierre Nieminen
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Multi-Label Health State Retrieval from Wearable Biosignals Through Statistical-Prior Guided Representation Learning and Deep Hash Encoding

Logan Sanders, Malcolm C. Kelley
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Investigating the Clinical Utility of Large Language Models in Automated Electronic Health Record Summarization and Diagnostic Workflow Assistance

Jason Wainwright, Milliam Bolan, Alan Fitzgerald
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Digital Neurophysiology of Sleep: Explainable Machine Learning Frameworks for Modeling Proton-Driven Brain Homeostasis and Sleep Regulation

Keepak Mhah, Pradeep Ganguly
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Vision-Language Hash Learning for Remote Sensing Scene Retrieval Based on Asymmetric Semantic Representation Mining

Ganav Hishra, Kasper Kennedy, Bennett A. Carpenter, Kasper Burton
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Multi-Scale Vision-Language Foundation Model for Explainable Lung Cancer Risk Assessment from CT Imaging and Nodule Segmentation

Richard Bage, Pierre Webb
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Digital Twin Modeling of Perioperative Analgesia Pathways in Arthroscopic Knee Surgery: An AI-Enabled Approach

Christopher Doldwell, Sophia R. Bennett, Michael Carver
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Semantic Hash-Based Retrieval Framework for Explainable Visual Recommendation Systems

Cesar Waga, Quentin D. Bell, Malcolm A. Carr, Adrian Terry
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Trustworthy Retrieval-Augmented Generation for Adversarially Robust Medical Large Language Model Agents

Shane Bush, Leonard Bamos
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Dual-Attention Multimodal Network for Explainable Lung Nodule Malignancy Assessment Through Integration of CT Imaging and Molecular Phase-Separation Biomarkers

Kenneth A. Richards, Trancis Breene
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Graph Neural Networks for Immune Gene–Disease Association Discovery Using Long-Read Sequencing and Population Genomics Data

Bevin Little, Vaibhav Bose, Jack Korris, Dominik C. Cook
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Optimizing Remote Patient Monitoring Systems through Edge Artificial Intelligence and Wearable Biosensor Analytics for Chronic Disease Management

Oliver Donovan, Bavin Wainwright, Charles Caldwell
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Explainable Machine Learning for Predicting Postoperative Pain Outcomes Following Femoral–Sciatic Nerve Block in Knee Arthroscopy

Leonard Carrington, Sophia L. Carter, Andrew Hollis
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Knowledge-Guided Deep Learning Framework for Linking Medical Image Phenotypes and YAP-MAML2–Associated Transcriptional Dynamics in Cancer Progression Analysis

Pascal Ortiz, Felix C. Simpson
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