Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...

As online criminals have realized that ransomware didn’t yield a recurring revenue stream, they have turned instead to cryptojacking, the takeover of computer networks by massive botnets to mine ...

Standard Chartered’s cyber strategy shifted when its teams started encountering signals that outpaced what traditional systems were built to interpret. Alvaro Garrido, COO, T&O and CIO for Information ...

Mapping of the human genome is exponentially increasing evidence-based innovation in health care. Through precision medicine, medical treatments are personalized and tailored to the individual ...

Extracting the foetal signal from the mother’s abdominal electrocardiogram is a crucial step for monitoring the health of the unborn child. (Courtesy: iStock/iTie) Researchers in Iran have used a deep ...

MINNEAPOLIS, May 7, 2020 /PRNewswire/ -- Preventice Solutions announced the publication of real-world data further validating BeatLogic ® deep learning models designed to detect and classify multiple ...

In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...

In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.

PARIS – Teams from the Pitié-Salpêtrière hospital, the Institute for Research in Development, Sorbonne University and the National Institute of Health and Medical Research are proposing a new ...