Artificial Intelligence Medical Compendium

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

Showing 66,401 to 66,410 of 232,447 articles

ANGPTL4 regulates the adipogenic-osteogenic differentiation balance of bone marrow mesenchymal stem cells: A novel mechanism of osteoporosis from the perspective of lipid metabolism.

Biochimie
To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoietin-like protein 4 (ANGPTL4) on the adipogenic-osteogenic differentiation balance of bone marrow mesen... read more 

Anomaly detection in gamma-ray spectra using autoencoders with small form factor CZT detectors.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
The detection of weak radioactive sources in fluctuating background environments is a critical task for nuclear security, environmental monitoring, and emergency response. Compact gamma-ray detectors, such as small-volume CdZnTe (CZT) crystals, are w... read more 

Mangroves affected by shifted river mouth underscore the importance of sustainable conservation of Setiu Wetlands, Malaysia.

Marine pollution bulletin
Setiu Wetlands on the east coast of Peninsular Malaysia have been facing a significant impact of the changed hydrodynamics and sedimentation due to the shifted river mouth. In particular, sand accumulation over the mangrove areas is threatening veget... read more 

Microbial biosynthesis of fruit-like aroma compounds: Strategies and challenges toward sustainable food flavor production.

Food research international (Ottawa, Ont.)
Fruit-like aroma compounds play a crucial role in the sensory quality of food and are commonly utilized as natural flavoring agents. However, the extraction from plants faces challenges such as seasonal variability, low yields, and environmental impa... read more 

Mechanistic characterisation of AI-2/AIP-mediated quorum sensing governs casein hydrolysis and flavour-protease modulation in acidified milk co-fermented by binary lactic acid bacteria.

Food research international (Ottawa, Ont.)
Interactions between lactic acid bacteria (LAB) shape the biochemical landscape of dairy fermentations, yet the molecular basis underpinning their synergistic behaviour remains obscure. This study shows that co-fermentation of yoghurt with Levilactob... read more 

Neural Latent Filtering for Gene Discovery in Breast Cancer Subtypes.

Biotechnology reports (Amsterdam, Netherlands)
Gene selection from expression data represents a challenging task, primarily due to the high data dimensionality and the vast number of genes that would be identified, many of which may be unrelated to cancer-relevant biological processes. To tackle ... read more 

Artificial intelligence as a tool for bionomic transects: the case of Isidella elongata (Esper, 1788) forests in the Western Mediterranean.

Marine environmental research
Deep-sea ecosystems are among the least explored on Earth, and traditional sampling methods often underestimate fragile megabenthic species such as gorgonians. As a result, the use of underwater vehicles for visual surveys has increased considerably.... read more 

SupReMix: Supervised contrastive learning for medical imaging regression with mixup.

Medical image analysis
In medical image analysis, regression plays a critical role in computer-aided diagnosis. It enables quantitative measurements such as age prediction from structural imaging, cardiac function quantification, and molecular measurement from PET scans. W... read more 

Using machine learning method to predict the quality of fermented krill sauce based on the freshness of Antarctic krill.

Food chemistry
Antarctic krill, a shrimp-like crustacean, whose quality strongly influences the quality of fermented shrimp sauce, yet the relationship and prediction methods remain unclear. This study evaluated 75 krill samples of varying freshness and their corre... read more 

Portable near-infrared hyperspectral technology fused with machine learning enables simultaneous prediction and classification of protein solubility in peas.

Food chemistry
Portable near-infrared (NIR) spectroscopy combined with multivariate analysis was used to develop models for quantifying and classifying pea protein solubility. The optimal quantitative model (D1-CARS-PLSR) utilized fourteen characteristic wavelength... read more