Light-emitting semiconductors are used throughout everyday life in TVs, smartphones, and lighting. However, many technical ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic ...
Of the ML models, the XGBoost had the best performance, with an AUC of 0.941 on the training set and an AUC of 0.775 on the internal validation set. The combination of clinical data with machine ...
Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Accurately predicting progression to death in DCD donors and ensuring successful organ procurement are ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback