Artificial Intelligence Medical Compendium

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

Showing 18,791 to 18,800 of 214,544 articles

Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models.

Digital discovery May 13, 2026
Glioblastoma multiforme (GBM) is an aggressive primary brain tumour that presents significant treatment challenges due to its complex pathology and heterogeneity. The lack of validated molecular targets is a major obstacle for discovering new therape... read more 

Operational 24-h PM2.5 forecasting using ensemble methods and open-access satellite data: application to Dakar, Senegal.

Environmental monitoring and assessment May 13, 2026
Accurate short-term air quality forecasting is urgently needed in African megacities. Chronic PM2.5 pollution threatens public health in these cities. At the same time, ground-based monitoring infrastructure remains sparse. This study develops and ev... read more 

Dynamic stability-driven machine learning improves binding pose identification on human serum albumin.

Journal of computer-aided molecular design May 13, 2026
Accurate identification of ligand binding modes on human serum albumin (HSA) is important for understanding drug-protein interactions that influence pharmacokinetics, including site-specific competition and protein-binding displacement. However, beca... read more 

Deciphering lipid biosynthesis and regulation in Isatis species through combined metabolomic and transcriptomic analysis.

BMC plant biology May 13, 2026
Lipids play multifaceted roles beyond structure and storage, yet their diversity within medicinally important genera like Isatis is poorly characterized. This study conducted the integrated lipidomic and transcriptomic analysis of three Isatis specie... read more 

The role of AI-mediated learning contexts in the personality-self-directed learning relationship among Chinese medical undergraduates: a cross-sectional study.

BMC medical education May 13, 2026
BACKGROUND: Self-directed learning (SDL) is a core competency in medical education. The emergence of generative artificial intelligence (AI) has reshaped technology-enhanced learning, yet it remains unclear how AI-related contextual factors interact ... read more 

Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes.

BMC medical education May 13, 2026
BACKGROUND: This systematic review and meta-analysis aimed to evaluate and quantitatively synthesize the effectiveness of artificial intelligence (AI)-driven simulation (ADS) technologies in improving learning outcomes in dental education. METHODS: T... read more 

Generative AI and knowledge management in health education: a cross-sectional study of students' digital literacy and attitudes from a developing-country context.

BMC medical education May 13, 2026
BACKGROUND: Generative artificial intelligence (AI) is rapidly transforming higher education and digital learning. However, a scarcity of information remains regarding the students' perspectives on AI's role in education. We investigated AI-related k... read more 

In-depth serum proteomics atlas of COVID-19 defines a Severity-Resistance Index from a four-protein panel for disease severity and prognosis.

Journal of translational medicine May 13, 2026
BACKGROUND: COVID-19 exhibits seasonal epidemics with high risk of mortality in vulnerable population. Identifying accurate parameters for predicting severity and adverse outcomes remains of great clinical significance. METHODS: An in-depth serum pro... read more 

Maternal genetic variants associated with aneuploid conception: a narrative review.

Human reproduction update May 13, 2026
BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from errors in chromosome segregation during oocyte meiosis or embryonic mitosis. While advanced maternal ... read more 

Corrigendum to: Deep Learning-Based Protein Half Life Prediction for Identifying Rate Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions.

Journal of microbiology and biotechnology May 13, 2026
In the article titled "Deep Learning-Based Protein Half-Life Prediction for Identifying Rate Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions," we would like to address an authorship error that occurred during the revision pro... read more 
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