It’s also important to use sex-specific measurements ... and conditions that could predict or increase their risk future heart disease can develop. For example, preeclampsia or pregnancy-induced ...

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

Heart health is becoming an increasingly ... tests might only detect issues after the disease has inflicted harm. "The markers we use to diagnose a condition are late markers or maybe even the ...

Electrocardiogram tests – which measure the heart's electrical activity – could someday be paired with an artificial ...

Researchers at UVA Health are taking a closer look at an often overlooked risk factor for heart disease: the fat surrounding your heart.When it comes to heart health, it’s not just about what you can ...

Data collected by wearable technology can identify disease flare-ups up to ... intelligence to develop algorithms using wearable device data to predict flares on an individualized basis.

This rare disease has an especially poor survival rate and few treatment options. The patient could be the first of many to have their lives saved by an AI prediction ... for the use of machine ...

This marks a significant shift in diagnostic methodology, as speech analysis is not typically employed in diagnosing Alzheimer’s disease. By using machine ... the Framingham Heart Study, a ...

The genomic drivers of coronary artery disease (CAD) are associated with the presentation of acute coronary syndromes and the severity and burden of angiographic CAD; these drivers also predict ...

Reproducibility is a buzzword in the world of scientific research. Frequently, it is followed by the jarring, but often apt, term “crisis,” to describe the dangerous implications that emerge when one ...

Interactive and intuitive user interface using Streamlit. Select a Prediction Type: Use the sidebar to choose between Diabetes, Heart Disease, or Parkinson's Disease. Enter Input Data: Fill in the ...