
Machine Learning Identifies Brain Signatures of Severe Sleep Apnea on Multimodal MRI
A machine learning model trained on brain structural and functional MRI data can identify young and middle-aged men with severe obstructive sleep apnea at 95% sensitivity, according to a new study in Sleep and Breathing. Researchers from the Second Affiliated Hospital of Soochow University, in collaboration with Oxford University, developed a classifier that integrates gray […]










