The increasing use of pesticides and their mixtures poses a serious risk to human health and the environment. This increases the demand for simple, cost-effective, and reliable methods for detecting these residues. In this study, a highly sensitive i... read more
UNLABELLED: WGCNA was used to identify DR-related PANoptosis genes, and the LASSO, SVM-RFE, and Random Forest machine learning models were then employed to identify key PANoptosis-related genes. The lncRNA-miRNA-TLR3 networks were constructed, and th... read more
Isocitrate dehydrogenase (IDH) enzymes have recently emerged as a highly promising target for therapeutic intervention in cancer treatment. Mutations in IDH genes result in the production of the oncometabolite, D-2-hydroxyglutarate (D-2HG), which con... read more
Cerebrovascular segmentation provides valuable cues for cerebrovascular diseases. Deep learning has achieved remarkable success in cerebrovascular segmentation, but relies on colossal computing power. To address existing challenges, we studied the in... read more
Decoding human visual neural representations is scientifically important for advancing research on brain-like intelligence. Existing research typically aligns neural signals captured by fMRI or EEG with visual and linguistic features, thereby enablin... read more
Small pelagic species like the European sardine (Sardina pilchardus) are highly sensitive to fishing pressure and environmental variability. This study evaluates the impact of oceanographic changes on sardine growth and stock status in western Africa... read more
European journal of medicinal chemistry
Mar 10, 2026
Selective inhibition of hexokinase 2 (HK2) represents a promising therapeutic strategy due to the pivotal role of HK2 in the Warburg effect, enhancement of glycolysis and anti-apoptosis via HK2-Voltage-Dependent Anion Channel 1 (VDAC1) protein-protei... read more
In U.S. drinking water systems, corrosion in aging iron (Fe) and lead (Pb) pipes imposes significant economic challenges, damages infrastructure, and presents public health risks. Despite these issues, large-scale detection of pipe corrosion remains ... read more
European heart journal. Digital health
Mar 10, 2026
AIMS: Attribution-based explainability methods are widely used in electrocardiogram (ECG) analysis to interpret predictions from 'black-box' deep neural networks (DNNs). To be useful in clinical applications, attribution methods must produce explanat... read more
Neural networks : the official journal of the International Neural Network Society
Mar 10, 2026
Understanding how structured sequence information can be represented and generalized in neural systems is key to modeling the transition from acoustic input to emergent structure. In this study, we propose a rank-order based neural network inspired b... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.