The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

As climate ambitions falter, Europe's unique framework for linking social and ecological goals may prove more resilient—and revolutionary—than it appears.

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A nostalgic hit built out of vintage pop-culture references captured the “If you liked that, you’ll like this” spirit of ...

Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...