Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 57,701 to 57,710 of 227,388 articles

Accurate Stride Length Prediction from Proximal IMU Sensors Using a Compact Linear Model

medRxiv Jan 27, 2026
Objective: Accurate stride length measurement is essential for assessing functional mobility, yet gold-standard methods remain confined to laboratory settings. This study aimed to develop and validate a computationally efficient, interpretable linear... read more 
rehabilitation medicine and physical therapy

A stickiness scale for disordered proteins

bioRxiv Jan 27, 2026
Disordered proteins are a heterogeneous group of proteins that play a broad range of functions in biology, and display conformational properties that range from compact globules to expanded chains. We here describe the results of a data-driven approa... read more 
biophysics

A brain dynamic model based on graph neural network reflect the inter-region interaction of cortical areas

bioRxiv Jan 27, 2026
A central objective in neuroscience is to elucidate how the brain generates complex dynamic activity through the interactions of brain areas. In this study, we utilized Interaction Network, a graph neural network model, to develop a computational fra... read more 
neuroscience

Dual-channel graph learning reveals similarity and complementarity in protein-protein interaction networks

bioRxiv Jan 27, 2026
Protein-protein interactions (PPIs) are governed by two fundamental interfacial mechanisms: similarity-driven, often involving symmetric structural motifs, and complementarity-driven, arising from geometric and physicochemical matching between bindin... read more 
bioinformatics

Deep Learning-Based Spatial Immunoprofiling of Multiplex Immunofluorescence Images Distinguishes Tuberculosis Disease States in Diversity Outbred Mice

bioRxiv Jan 27, 2026
Tuberculosis (TB), caused by Mycobacterium tuberculosis (M.tb), remains a major global health challenge, with approximately 10.8 million new cases and 1.25 million deaths reported in 2023. Human responses to M.tb are heterogeneous with clinical outco... read more 
immunology

UdonPred: Untangling Protein Intrinsic Disorder Prediction

bioRxiv Jan 27, 2026
Motivation: Regions in intrinsic disordered proteins (IDPs) constitute important continuous aspects of protein function. While their existence on a structural continuum is widely accepted, most computational predictions have, nevertheless, focused on... read more 
bioinformatics

Prioritizing DNA methylation biomarkers using graph neural networks and explainable AI

bioRxiv Jan 27, 2026
DNA methylation is a significant epigenetic modification involving the addition of a methyl group to the position 5' of the cytosine residues. The modification is responsible for disease progression, immune response, and outcomes in diseases such as ... read more 
bioinformatics

Electrophysiological Correlates of Reinforcement Learning in the Human Ventral Tegmental Area

bioRxiv Jan 27, 2026
The ventral tegmental area is the primary source of dopaminergic input to the human prefrontal cortex and plays a central role in reinforcement learning. Although animal studies have established that dopaminergic neurons encode reward prediction erro... read more 
neuroscience

An enzyme-level benchmark based on environmental bacterial laccases for predicting contaminant fate in water

bioRxiv Jan 27, 2026
Bacterial laccases are widespread multicopper oxidases whose roles in the fate of anthropogenic chemicals in aquatic environments remain poorly understood. Here, we integrate metagenomic analysis, a miniaturized high-throughput assay and machine lear... read more 
biochemistry

scChat: A Large Language Model-Powered Co-Pilot for Contextualized Single-Cell RNA Sequencing Analysis

bioRxiv Jan 27, 2026
Single-cell RNA sequencing (scRNA-seq) has transformed biomedical research by enabling transcriptomic analysis at single-cell resolution. Yet, existing computational approaches remain primarily data-driven and lack the ability to integrate research c... read more 
bioinformatics
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