Artificial Intelligence Medical Compendium

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

Showing 351 to 360 of 212,780 articles

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

Journal of medicinal chemistry Jul 20, 2026
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 Jul 20, 2026
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 Jul 20, 2026
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 Jul 20, 2026
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 Jul 20, 2026
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 

A geospatial machine-learning framework for regional electrification estimation mapping and trend analysis using demographic and infrastructure features.

Scientific reports Jul 20, 2026
Many rural communities in Ethiopia's Amhara region lack electricity access despite substantial urban-rural disparities. Traditional surveys are costly and inconsistent, while Nighttime Light (NTL)-population threshold methods suffer from arbitrary th... read more 

Constructal theory of aerodynamic design in NACA airfoils for search and rescue UAVs using integrated CFD and ANN approaches.

Scientific reports Jul 20, 2026
Constructal design of the NACA (National Advisory Committee for Aeronautics) airfoil was to reduce the drag force and increase the lift force for search and rescue (SAR) missions. This series of NACA airfoils is defined by a 4-digit NACA mptt, which ... read more 

An intelligent approach for automated vehicle damage classification.

Scientific reports Jul 20, 2026
Manual examination using imitative assessment methods requires considerable investment in time, effort, resources, and funds. Furthermore, these assessments often exhibit inconsistencies. Therefore, this study introduces a framework for accurately de... read more 

A time-frequency collaborative cross-device bearing fault diagnosis model based on supervised transfer learning with limited data.

Scientific reports Jul 20, 2026
In recent years, deep learning-based bearing fault diagnosis models have demonstrated excellent diagnostic performance under ideal experimental conditions. However, in practical industrial scenarios, the domain shift problem caused by data distributi... read more 

Deep learning model for predicting fracture redisplacement in conservatively treated distal radius fractures using radiographs: a retrospective cohort study.

Scientific reports Jul 20, 2026
Accurate assessment of redisplacement risk in distal radius fractures during initial treatment is crucial for selecting the optimal management plan. Traditional clinical decision rules have limited predictive performance. Deep learning models have de... read more 
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