Artificial Intelligence Medical Compendium

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

Showing 31,531 to 31,540 of 220,544 articles

Filtering of artificial chimeric reads generated by ligation preparation method of nanopore sequencing.

iScience Apr 14, 2026
Nanopore sequencing provides long and ultra-long reads that are valuable for structural variation (SV) detection and genome assembly. However, false-positive chimeric reads can arise and interfere with somatic SV calling. Here, we show that ligation-... read more 

Neutrophil CD14 is a driver and a therapeutic target for deep vein thrombosis.

Blood advances Apr 14, 2026
Neutrophil-mediated persistent inflammation and neutrophil extracellular trap formation (NETosis) are critical in the pathogenesis of deep vein thrombosis (DVT). Identifying the mechanisms controlling these proinflammatory and prothrombotic functions... read more 

GRASP: Gene-relation adaptive soft prompt for scalable and generalizable gene network inference with large language models

bioRxiv Apr 14, 2026
Gene networks (GNs) encode diverse molecular relationships and are central to interpreting cellular function and disease. The heterogeneity of interaction types has led to computational methods specialized for particular network contexts. Large langu... read more 
bioinformatics

Interpretable Hierarchical RNNs for rs-fMRI: Promise and Limits of Individualized Brain Dynamics

bioRxiv Apr 14, 2026
Modeling individual brain dynamics from resting-state fMRI (rs-fMRI) remains challenging due to substantial inter-subject variability, measurement noise, and limited data length per subject. Here, we systematically evaluate a hierarchical dynamical s... read more 
neuroscience

A correlational study of ABCA3 and SCN4B as exercise-related biomarkers of patients with Stanford type A aortic dissection

bioRxiv Apr 14, 2026
Background: Accumulating evidence indicates that moderate exercise may reduce the incidence of Stanford type A aortic dissection (TAAD), but the specific mechanisms remain unclear. This study aims to identify exercise-related biomarkers in TAAD patie... read more 
bioinformatics

Integrated kidney and urine proteomics define encrypted antimicrobial peptides as effectors of host defence in human pyelonephritis

bioRxiv Apr 14, 2026
Antimicrobial peptides (AMPs) are key effectors of host defence, however, their functional deployment across renal tissue and urine in pyelonephritis (PN) remains incompletely understood. Here, we integrate kidney and urine proteomics with urinary pe... read more 
immunology

Integrating computational chemistry and machine learning to predict KRAS mutation-induced resistance

bioRxiv Apr 14, 2026
Mutation-induced drug resistance is a major contributor to the failure of targeted cancer therapies, particularly in tumors driven by mutations in the KRAS oncogene. Although covalent inhibitors effectively target KRAS G12C, secondary mutations such ... read more 
biophysics

A Machine Learning Approach for Physiological Role Prediction in Protein Contact Networks: a large-scale analysis on the human proteome

bioRxiv Apr 14, 2026
Proteins are fundamental macromolecules involved in virtually all biological processes. Their physiological roles are tightly linked to their three-dimensional structure, which can be naturally abstracted as Protein Contact Networks (PCNs), i.e., gra... read more 
bioinformatics

Explainable machine learning identifies candidate shared neuroanatomical features in Alzheimer's and Parkinson's via importance inversion transfer

bioRxiv Apr 14, 2026
Despite significant neurobiological and pathological overlaps, Alzheimer's (AD) and Parkinson's (PD)-the primary threats to healthy aging-are still managed as distinct clinical entities. Standard machine learning exacerbates this fragmentation by pri... read more 
neuroscience

Multi-Stain Fusion of Histopathology Images Using Deep Learning for Pediatric Brain Tumor Classification

bioRxiv Apr 14, 2026
The classification of pediatric brain tumors is investigated using deep learning on hematoxylin and eosin (H&E) and antigen Ki-67 (Ki-67) whole slide images (WSIs) from the Children's Brain Tumor Network (CBTN) dataset. A total of 1,662 unregistered ... read more 
pathology
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