Lifeboat Foundation

Prevention is better than cure. This simple rule applies to any disease and is especially valuable when symptoms are not properly acknowledged.

We will describe crucial symptoms that might occur one month (or even earlier) before a heart attack. You don’t need to become a total hypochondriac, but a bit of health awareness never hurt anybody. Pay close attention in case you are at risk. Several often-missed indicators are listed at the end of the article. health, medicine, science, health, medicine, science, health, science, health, science.

NEW YORK (Reuters Health) — A convolutional neural network trained through deep learning can accurately predict a person’s age and gender using only standard 12-lead ECG signals, researchers report.

“Our standard diagnostic tools may have far more information behind them than we’ve come to expect throughout standard approaches to diagnostic interpretation,” said Dr. Suraj Kapa from Mayo Clinic College of Medicine, in Rochester, Minnesota.

“Between this study and other prior studies showing that we can predict likelihood of having atrial fibrillation from a normal sinus ECG or the presence of a low ejection fraction, AI-enabled ECG analysis may offer new, rapid, and cost-effective insights into human health well beyond what we could have anticipated in the last two centuries since the ECG was first developed,” he told Reuters Health by email.

Could physics help people with epilepsy? That’s the question tackled by Louis Nemzer, a physicist at Nova Southeastern University, in the September 2019 issue of Physics World magazine, which is out now in print and digital formats.

He thinks that machine learning and real-time monitoring of the brain could give people with epilepsy live information about how much at risk they are of an imminent seizure – and is even developing a smartphone app to help them in daily life.

Elsewhere in the issue, Peter Martin and Tom Scott from the University of Bristol describe how they’ve used drones to map radiation levels at the Chernobyl plant, which you can also read on this website from 2 September, while Kate Brown from the Massachusetts Institute of Technology examines the health impact of Chernobyl fall-out.