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.

Regular annual inspection is required for the Diabetic patients to prevent the disease. Optical Coherence Tomography, an non-invasive imaging modality that captures retina with high resolution. Deep ...

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 ...