ECG tests may someday be used by AI model to detect premature aging and cognitive decline
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Updates every hour. Last Updated: 4-May-2025 00:09 ET (4-May-2025 04:09 GMT/UTC)
An artificial intelligence (AI) model designed to predict a person’s biological age (age of body cells and tissues) based on electrocardiogram (ECG) data found a strong association between ECG-age and cognitive performance.
Both F.A.S.T. and BE-FAST acronyms motivated people to call 911 right away for a possible stroke, and this impact lasted for 30 days.
People who regularly floss their teeth (one or more times per week) may lower their risk of stroke caused by a blood clot traveling from the heart and a stroke associated with an irregular heartbeat such as atrial fibrillation (AFib).
Increased levels of Streptococcus anginosus, a common type of bacteria that usually lives in the mouth and gut, was found in the gut of recent stroke survivors in Japan.
Shorter protective caps on chromosomes called telomeres, a proposed marker of accelerated biological cell aging, may be associated with an increased risk of stroke, dementia and late-life depression, according to an analysis of more than 356,000 people in the United Kingdom.