A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. BMC Med Inform Decis Mak . (2018) 18:44 ...

Ancora Heart announced it has reached the first enrollment milestone in its CORCINCH-HF pivotal trial evaluating the ...

While heart disease has been the leading cause of death in the U.S. for over a century, the past 50 years have seen a ...

Researchers from Philadelphia-based Temple University Health System have developed an EHR-integrated tool to detect pulmonary arterial hypertension, a form of heart failure, according to a study ...

The effort involved more than 100 hospitals across the U.S. and built on the Association's Get With The Guidelines ® - Heart Failure program. The study included data from more than 43,000 ...

Researchers from RWJBarnabas Health and Rutgers Cancer Institute, New Jersey's only National Cancer Institute-designated ...

A risk prediction model outlined in The Journal of Clinical Endocrinology & Metabolism details how the best intervention for preventing type 2 diabetes may vary between people with prediabetes.

The model uses four variables: sex, tumor diameter, hemoglobin levels, and albumin levels. The tool could enable more ...

Bayer’s AskBio unit has reported the first clinical data for its congestive heart failure gene therapy, showing preliminary signs of efficacy with no serious adverse events linked to the treatment.

A groundbreaking artificial intelligence model is being trained using NHS data from 57 million people in England in the hope it could predict disease and complications before they occur.