Artificial Intelligence Medical Compendium

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

Showing 47,981 to 47,990 of 224,199 articles

CellAwareGNN: Single-Cell Enhanced Knowledge Graph Foundation Model for Drug Indication Prediction

bioRxiv Feb 23, 2026
Graph foundation models have emerged as powerful tools for drug repurposing by enabling the prediction of novel drug-disease indications from large biomedical knowledge graphs. A representative example is TxGNN, which was previously developed and tra... read more 
bioinformatics

Inference of cancer driver mutations from tumor microenvironmentcomposition: a pan-cancer study with cross-platform external validation

bioRxiv Feb 23, 2026
Cancer driver mutations shape the tumor microenvironment (TME), yet whether TME composition alone can predict genotype has not been systematically evaluated across cancers with external validation. We trained machine learning models to predict driver... read more 
bioinformatics

SHAP-Guided CpG Selection with Ensemble Learning for Epigenetic Age Prediction

bioRxiv Feb 23, 2026
Abstract Epigenetic biomarkers offer critical insight into biological aging and disease risk, yet most deep learning models lack interpretability and generalization across tissues. We present a reproducible pipeline for interpretable age classificati... read more 
genomics

A Comprehensive Atlas and Machine-Learning Framework for Predicting IDR-Protein Binding Affinity

bioRxiv Feb 23, 2026
Intrinsically disordered regions (IDRs) enable pervasive, regulatable protein interactions, yet predicting their binding affinities remains challenging because disorder permits heterogeneous interfaces and context-dependent recognition. Here we intro... read more 
biophysics

Pixel2Gene enables histology-guided reconstruction and prediction of spatial gene expression

bioRxiv Feb 23, 2026
Advances in spatial transcriptomics (ST) have fundamentally transformed our understanding of tissue biology by enabling gene expression profiling within intact spatial contexts and uncovering tissue organization and microenvironmental interactions. H... read more 
genomics

Hierarchical Multi-Omics Trajectory Prediction forFecal Microbiota Transplantation: A Novel MachineLearning Framework for Small-Sample LongitudinalMulti-Omics Integration

bioRxiv Feb 23, 2026
Fecal microbiota transplantation (FMT) has emerged as a highly effective treatment for recurrent Clostridioides difficile infection and is being actively investigated for numerous other conditions. While multi-omics studies have revealed dynamic chan... read more 
bioinformatics

Structure-Based TCR-pMHC Binding Prediction and Generalization to Unseen Peptides

bioRxiv Feb 23, 2026
The interaction between T-cell receptors (TCRs) with the peptide-bound major histocompatibility complex (MHC) intricately impacts the functional specificity of T-cell-mediated adaptive immune response. Consequently, implication in immunotherapy has c... read more 
bioinformatics

Geometric-Evolutionary Deep Learning Decodes the Human GPCR-Metabolome Interactome and Enables Systematic De-Orphanization

bioRxiv Feb 23, 2026
G protein-coupled receptors (GPCRs) are the largest class of drug targets, yet hundreds of orphan GPCRs lack known endogenous ligands, limiting our understanding of human physiology and therapeutic development. Existing computational approaches often... read more 
systems biology

Reservoir Computing with Ultra-Sparse Rings

bioRxiv Feb 23, 2026
Many existing models of computation in recurrent neural networks assume dense, unconstrained initial connectivity, where any pair of neurons may be coupled to generate the rich dynamics needed for learning complex temporal patterns. Inspired by inver... read more 
neuroscience

CrossAffinity: A Sequence-Based Protein-Protein Binding Affinity Prediction Tool Using Cross-Attention Mechanism

bioRxiv Feb 23, 2026
Protein-protein binding affinity is important for understanding protein interactions within a protein complex and for identifying strong drug-peptide binders to a target protein. Many structure-based models were built previously with reasonable perfo... read more 
bioinformatics
Popular Topics
Recent Journals