A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...

Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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 ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

Does a research-based explanation hold when applied to new situations? Here’s how to predict the future as well as clarifying ...