Artificial Intelligence Medical Compendium

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

Showing 31,781 to 31,790 of 220,797 articles

Nephrology: What You May Have Missed in 2025.

Annals of internal medicine Apr 14, 2026
This article highlights some important nephrology studies published in 2025 that are relevant for many nonnephrologist physicians. Two studies examined aspects of acute kidney injury (AKI), including the use of sodium bicarbonate infusion to treat se... read more 

Structure- and Ligand-Based Discovery of Novel 3-Chymotrypsin-Like Protease Nonpeptidomimetic Hits.

ChemMedChem Apr 14, 2026
The SARS-CoV-2 3-chymotrypsin-like (3CLpro) protease is a key target for the development of COVID-19 therapeutics. While ensitrelvir and nirmatrelvir are approved drugs for treatment, the continuous research and development for new antiviral drugs is... read more 

Isotope effects in 2D correlation infrared spectra of water: HEOM analysis of molecular dynamics-based machine learning models.

The Journal of chemical physics Apr 14, 2026
We model, simulate, and analyze the intramolecular modes of liquid H2O and D2O to elucidate how energy excitation, relaxation, and vibrational dephasing interplay through anharmonic mode-mode coupling. Our analysis employs two-dimensional (2D) correl... read more 

EquiHGNN: Scalable rotationally equivariant hypergraph neural networks.

The Journal of chemical physics Apr 14, 2026
Molecular interactions often involve higher-order relationships that cannot be fully captured by traditional graph-based models limited to pairwise connections. Hypergraphs naturally extend graphs by enabling multi-way interactions, making them well-... read more 

Node transfer for multi-fidelity and multimodal machine learning for predicting experimental bandgaps.

The Journal of chemical physics Apr 14, 2026
Bandgap is a key property of materials. In recent years, machine learning has become a powerful tool to predict the experimental bandgaps of compounds before synthesis, but there is still much room for improving the prediction accuracy. Here, we buil... read more 

Machine-learned many-body potentials for charged colloids reveal gas-liquid spinodal instabilities only in the strong-coupling regime of primitive models.

The Journal of chemical physics Apr 14, 2026
Past experimental observations of gas-liquid and gas-crystal coexistence in low-salinity suspensions of highly charged colloids have suggested the existence of like-charge attraction. Evidence for this phenomenon was also observed in primitive-model ... 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
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