Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

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 ...

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

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...