Neurodegenerative diseases like Alzheimer's are a growing concern in the U.S., with over 7 million Americans living with ...

What if your brain had a built-in map—not of places, but of possible futures? Researchers at the Champalimaud Foundation (CF) ...

A new scoping review reveals how inconsistencies in labeling practices and high bias risk in delirium prediction studies ...

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with acute GI bleeding.

Machine learning (ML), a ... and implementation of a risk prediction computer model based on a NN algorithm. Data for the meta-analysis of EC patients with the risk factors were taken from National ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

Abstract: The most frequent type of calamity is flooding, which happens when water overflows and submerges normally dry terrain. Flood prediction models, which are typically based on historic data and ...

A web application that predicts a person's diabetes status using a machine learning model. Built with Django and trained on the Pima Indian Diabetes dataset.

A major international research effort is now underway in the Netherlands and the US to get a real handle on hydrogen emissions in the real world—using some seriously cutting-edge tech and techniques.