Barcelona, Spain – 28 Aug 2022: A novel artificial intelligence (AI) algorithm uses routine echocardiograms to identify aortic stenosis patients at high risk of death who could benefit from treatment. The late breaking research is presented in a Hot Line session today at ESC Congress 2022.1 Aortic stenosis is the most common primary valve lesion requiring surgery or transcatheter intervention in Europe and North America.2 Prevalence is rapidly increasing due to ageing populations. Guidelines strongly advise early intervention in all symptomatic patients with severe aortic stenosis due to the dismal prognosis. Approximately 50% of untreated patients with aortic stenosis die in the first two years after symptoms appear.3

Think your bishop's opening, queen's gambit, and pawn play are unique? A new artificial intelligence (AI) algorithm has got your chess style pegged. AI software can already identify people by their voices or handwriting. Now, an AI has shown it can tag people based on their chess-playing behavior, an advance in the field of "stylometrics" that could help computers be better chess teachers or more humanlike in their game play. Alarmingly, the system could also be used to help identify and track people who think their online behavior is anonymous.

Artificial intelligence identifies, locates seizures in real-time.

IMAGE: This gif was recorded during two seizures, one at 2950 seconds, the other at 9200. The top left animation is of EEG signals from three electrodes. The top right is... view more Researchers from Washington University in St. Louis' McKelvey School of Engineering have combined artificial intelligence with systems theory to develop a more efficient way to detect and accurately identify an epileptic seizure in real-time. Their results were published May 26 in the journal Scientific Reports. The research comes from the lab of Jr-Shin Li, professor in the Preston M. Green Department of Electrical & Systems Engineering, and was headed by Walter Bomela, a postdoctoral fellow in Li's lab.

"Our technique allows us to get raw data, process it and extract a feature that's more informative for the machine learning model to use," Bomela said.

An artificial intelligence system has identified a previously unknown human ancestor that roamed the planet tens of thousands of years ago and left a genomic footprint in Asian individuals, scientists say. By combining deep learning algorithms and statistical methods, researchers from the University of Tartu in Estonia, Institute of Evolutionary Biology (IBE), and the Centre for Genomic Regulation (CRG) in Spain found that the extinct species was a hybrid of Neanderthals and Denisovans and cross bred with modern humans in Asia. The finding, published in Nature Communications, would explain that the hybrid found last year in the caves of Denisova -- the offspring of a Neanderthal mother and a Denisovan father -- was not an isolated case, but rather was part of a more general introgression process. Researchers used deep learning for the first time ever to account for human evolution, paving the way for the application of this technology in other questions in biology, genomics and evolution. One of the ways of distinguishing between two species is that while both of them may cross breed, they do not generally produce fertile descendants. However, this concept is much more complex when extinct species are involved.

On a recent overnight shift in the emergency room, a woman who was having vague abdominal pain and chest discomfort for several days was referred to me. When her symptoms began, after searching google, she came up with a diagnosis list that included everything from influenza, to Zika, to lupus. She came to the hospital several days later when it became hard to breath and it turned out that she had a massive heart attack. Cardiac pain originates from the heart muscle, most typically when blood flow to the heart (through vessels called coronary arteries) become blocked. In the heart muscle, there are nerve endings which transmit signals to the brain which get interpreted as chest pain. Unfortunately, just like other pain arising in other organs in the body, cardiac pain is poorly localized.

Cardiac pain originates from the heart muscle, most typically when blood flow to the heart (through vessels called coronary arteries) become blocked. In the heart muscle, there are nerve endings which transmit signals to the brain which get interpreted as chest pain. Unfortunately, just like other pain arising in other organs in the body, cardiac pain is poorly localized. Think of when you had stomach cramps after eating some food you probably shouldn't have--the pain is often vague and generalized, as opposed to being isolated to one specific location. Furthermore sensations arising from other organs in the chest, such as the esophagus, can produce pain indistinguishable from cardiac pain.