Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Abstract: As district heating networks (DHNs) across Europe near or surpass their intended service life, the need for proactive, data-driven maintenance and replacement planning is increasing. This ...

The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent.Floods, heatwaves, droughts, and air pollution events are ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...