A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...

The ability to follow patients with this high sensitivity allows us to make a more accurate and precise measurement, and we can see small changes or see them in a shorter period of time…,” ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The National Institute for Research and Treatment (NICRAT) has strengthened the capacity of health workers in the South-West geopolitical zone of Nigeria through training on the application of ...

A team of researchers has announced a major advancement in the automated detection of brain tumours, unveiling a hybrid artificial intelligence system that dramatically enhances the accuracy of ...

Artificial intelligence is making its mark on the future of cancer care. One of the newest applications for the technology is pinpointing hard-to-detect breast cancer. Researchers at Ohio State ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...