Artificial Intelligence Medical Compendium

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

Showing 931 to 940 of 213,401 articles

Reticular pseudodrusen load is associated with an increased risk of stroke.

BMJ open ophthalmology
BACKGROUND/AIMS: Reticular pseudodrusen (RPD) are increasingly recognised as a distinct phenotype in the age-related macular degeneration (AMD) disease spectrum. This study investigates the association between RPD and cardiovascular outcomes, specifi... read more 

ADMET-XSpec: A Tool for Systematic Cross-Species Data Integration in ADMET Prediction.

Chemical research in toxicology
The rapid expansion of in silico methodologies has reshaped modern drug discovery and toxicology research; however, robust prediction of ADMET endpoints remains limited by the scarcity and heterogeneity of experimental data. In particular, toxicologi... read more 

Multiparametric MRI Radiomics-Based Interpretable Machine Learning Model for the Prediction of Lymphovascular Space Invasion in Endometrial Cancer.

Academic radiology
RATIONALE AND OBJECTIVES: To develop and validate a machine learning model combining multiparametric Magnetic Resonance Imaging (MRI) radiomics and clinical indicators for predicting lymphovascular space invasion (LVSI) in endometrial cancer (EC). MA... read more 

Online Energy-Resolved Mass Spectrometry Enables Differentiation of Glycosylation Sites and Sugar Moieties Supporting More Accurate Identification of Ginsenoside Isomers.

Analytical chemistry
Structural characterization of natural saponins is highly challenging by tandem mass spectrometry, lacking evidence for differentiating multiple glycosylation sites and diverse sugar moieties. Optimal collision energy (OCE) in collision-induced disso... read more 

From Structure to Selectivity: Integrating CADD and AIDD in Rational Medicinal Chemistry Strategies for DYRK1A Inhibitor Discovery.

Journal of medicinal chemistry
Dual specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A), a member of the CMGC kinase family, regulates diverse cellular processes and is implicated in Alzheimer's disease, Down syndrome, cancer, and diabetes. However, the clinical tran... read more 

Quantitative Prediction of Exchangeable Proton Chemical Shifts.

Nature communications
Accurately predicting NMR chemical shifts of exchangeable protons in solution remains challenging because of the combined influence of solute-solvent interactions and molecular dynamics. We introduce a framework that integrates machine-learning molec... read more 

Global variation of plant nitrogen acquisition strategies and their responses to decreasing nitrogen availability.

Nature communications
Plants employ three N acquisition strategies to support productivity: root uptake from soils, symbiotic fixation, and resorption from senescing leaves. However, their global variation and coordination remain poorly understood. Here, we compile 3,193 ... read more 

Deep learning for multimodal physiological signal based assessment of sleep disordered breathing.

Scientific reports
Sleep disordered breathing (SDB) is commonly assessed using polysomnography (PSG), which records multiple physiological signals during sleep. Accurate automated assessment of SDB related breathing abnormalities remains challenging because respiratory... read more 

Wavelet coherence-aware multi-branch deep ensemble for fault identification in centrifugal pumps.

Scientific reports
Reliable fault diagnosis of centrifugal pumps is challenging due to the nonstationary nature of vibration signals, weak early-stage laboratory fault signatures, and overlapping characteristics among different mechanical defects. This study proposes a... read more