A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Mayo Clinic research identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease ...

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

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Carnegie Mellon researchers have proven that widely available earbuds can double as heart-monitoring devices, capturing subtle cardiac activity with near-clinical accuracy and potentially expanding ...

From smartwatches to DNA fragments, scientists are building a ‘dashboard’ for human health, but a high-profile trial shows ...

DCS has secured a $95 million contract from the Air Force Research Laboratory’s Multi-Domain Sensing Autonomy Division to provide analytical tools for the Assessment of Sensing-Autonomy Sensor ...

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine echocardiogram videos, flagging disease progression years before conventional ...