AI Framework Aims to Personalize Radiation Doses for GI Brain Metastases
Researchers at the University of Pittsburgh have developed THINKERS-GI, a mixture-of-experts artificial intelligence framework that predicts local failure and toxicity ...
Researchers at the University of Pittsburgh have developed THINKERS-GI, a mixture-of-experts artificial intelligence framework that predicts local failure and toxicity ...
A multi-scale study of lateritic soils from Dir, Cameroon shows that cement-stabilized compressed earth blocks made from these highly weathered ...
A hybrid XGBoost-based machine learning framework has distilled Crohn's disease risk prediction down to just 15 genetic variants, achieving over ...
A new narrative review finds that classical statistical models and rigorous validation pipelines often outperform sophisticated deep learning in sports ...
Researchers in China built a LightGBM-based prediction model that identifies which patients with proliferative diabetic retinopathy are likely to have ...
Researchers have developed CLATS, a closed-loop adaptive triage framework that continuously optimizes clinical deterioration alert thresholds while balancing sensitivity against ...
A rigorous evaluation of 126 machine learning pipelines on data from more than 3,000 Golden Retrievers shows that routine laboratory ...
A new study in the Journal of Perinatology explores whether clinical and laboratory variables can predict which infants with gastroschisis ...
A new opinion paper in Plant and Soil argues that uneven crop emergence persists because soil sensing technologies have never ...
Researchers developed an eight-variable XGBoost machine learning model that predicts ICU mortality in spine fracture patients as accurately as the ...
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© 2025 Scienmag - Science Magazine