AI and Multi-Omics Could Predict Necrotizing Enterocolitis Before Symptoms Strike
An editorial in the World Journal of Pediatrics argues that artificial intelligence integrating longitudinal multi-omics data could shift necrotizing enterocolitis ...
An editorial in the World Journal of Pediatrics argues that artificial intelligence integrating longitudinal multi-omics data could shift necrotizing enterocolitis ...
Researchers at Fayoum University show that a simple averaged ensemble of machine learning models, evaluated on the OhioT1DM dataset with ...
A new framework called KnockoffCS integrates knockoff-based false discovery rate control into compressive sensing, delivering statistically guaranteed support recovery and ...
An exploratory study of 61 breast cancer patients found only weak, statistically fragile links between regional tumor immune-stromal composition and ...
A new machine-learning study maps Komodo dragon habitat suitability and wildfire risk across Komodo National Park, revealing that five percent ...
A qualitative study of eighteen ICU physicians, nurses, and managers reveals that workflow integration, explainable predictions, and leadership support will ...
Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...
A response-calibrated SWAT-ridge framework cut daily total nitrogen prediction error by 34 percent at China's gate-controlled Honghu Lake, showing that ...
Using machine learning on tissue from 84 Alzheimer's disease cases, researchers have mapped six distinct amyloid-beta plaque types across 23 ...
A machine learning study of three democracy indices finds that socioeconomic context variables, including renewable energy consumption, can predict democratic ...
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© 2025 Scienmag - Science Magazine