Artificial Intelligence Medical Compendium

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

Showing 17,851 to 17,860 of 214,033 articles

Operational mechanisms and application advances in artificial olfactory systems.

Biomedical engineering online
Artificial olfactory systems represent biomimetic platforms that emulate biological olfaction for volatile compound detection and discrimination. Biological olfaction achieves efficient perception through the specific binding of volatile molecules to... read more 

Hope and fear in AI-based language teaching: opportunities, challenges, and emotions.

BMC psychology
The integration of artificial intelligence (AI) into second and foreign language (L2) education has increased significantly; however, its emotional impact on teachers remains underexplored, particularly in less commonly taught languages (LCTL) such a... read more 

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BMC medical informatics and decision making
BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatty liver disease (NAFLD), but current clinical tools lack the integration of multidimensional data for accurate risk prediction. This study employs var... read more 

Integrative bioinformatics and machine learning reveal an association of LTF and MMP8 with systemic inflammation and lung injury.

Respiratory research
BACKGROUND: Acute lung injury and its severe form, acute respiratory distress syndrome (ARDS), represent life-threatening conditions with high mortality rates. Since the lung is the primary target organ in systemic inflammatory conditions like sepsis... read more 

Coxmos: interpretable survival models for high-dimensional and multi-omic data.

BioData mining
BACKGROUND: Survival analysis in high-dimensional (HD) and multi-block (MB) settings, such as omic and multi-omic studies, poses major methodological challenges due to multicollinearity, low events-per-variable ratios, and limited model interpretabil... read more 

Deep learning for assay nuisance compound detection using a gated co-attention graph embedding model (CAGE-Fusion).

Journal of cheminformatics
In drug discovery, nuisance compounds are chemicals that interfere with biochemical or cell-based assays, often generating misleading signals unrelated to true activity. These molecules operate through diverse, context-dependent mechanisms, ranging f... read more 

Quantification of 14 Major and Minor Cannabinoids with Absorbance-Transmittance Excitation-Emission Matrix Spectroscopy and Machine Learning.

Cannabis and cannabinoid research
BACKGROUND: Cannabis plants (Cannabis sativa) contain a diverse group of terpenophenolic compounds known as phytocannabinoids, with 131 cannabinoids identified to date. Rapid and low-cost analytical approaches capable of quantifying both major and mi... read more 

Stable maintenance of MERVL-positive embryonic stem cells reveals sustained transcriptional programs and enhancer remodeling.

The Journal of biological chemistry
Mouse embryonic stem cells (ESCs) occasionally transit into a rare two-cell-like (2C) state characterized by transient activation of endogenous retroviruses such as MERVL and expression of 2C-specific genes including the Zscan4 cluster. These 2C-like... read more 

The retinol metabolizing enzyme DHRS3 coordinates antigen presentation, endothelial stability, and cholesterol metabolism to suppress hepatocellular carcinoma progression.

The Journal of biological chemistry
Hepatocellular carcinoma (HCC) remains a therapeutic challenge due to tumor microenvironment heterogeneity and metabolic reprogramming. DHRS3, a retinol-metabolizing enzyme, exhibits paradoxical roles across cancers, but its specific function in HCC ... read more 

Cross-Platform Comparative Spatial Transcriptomics in High-Grade Serous Carcinoma.

Laboratory investigation; a journal of technical methods and pathology
PURPOSE: High-grade serous carcinoma (HGSC) is a remarkably heterogeneous tumor. The purpose of this study was to directly compare the reproducibility of transcriptomic profiles and biologically relevant molecular features across two spatial transcri... read more