A team at UCSF developed a multitask deep learning framework that can effectively predict Alzheimer’s disease diagnosis, cognitive scores, and future cognitive decline using only baseline MRI and ...

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...

Every day, millions of Americans open a fitness app, glance at their step count, and may even feel a mild pang of guilt ...

A research team co-led by investigators at Mass General Brigham and the Broad Institute of MIT and Harvard has developed and ...

Doctors have been drilled for decades on the four big risks for heart disease, which kills more Americans every year than any other illness. The fearsome foursome: hypertension, smoking, high levels ...

A new study by investigators at Mass General Brigham has found that a blood test of plasma phosphorylated tau 217 (pTau217), an Alzheimer's disease biomarker, can predict the progression of amyloid ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Several years ago, my linguistic research team and I began developing a computational tool we call ‘Read-y Grammarian’. Our goal was to reconstruct the highly fragmentary text of the Singapore Stone, ...