A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
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New statistical tool enhances prediction accuracy
This prediction approach achieves higher agreement in predictions by optimizing the concordance correlation coefficient (CCC), which measures how well pairs of observations fall on the 45-degree line ...
The Niño3.4 SST anomalies during 2020–2024 for reanalyses from GODAS (black dotted line) and predictions made by statistical (green dotted lines) and dynamic (blue dotted lines) models from the IRI ...
AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
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