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New AI-based computer algorithm may enable quicker diagnosis of heart failure

A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure.
United States Benjamins Glicksberg Girishn Nadkarni Emily Henderson Division Of Data Icahn School Of Medicine At Mount Sinai

Study uncovers toxic air pollutant mixtures linked to poor childhood asthma outcomes

Researchers at the Icahn School of Medicine at Mount Sinai have developed a novel machine learning algorithm and used it to identify previously unknown mixtures of toxic air pollutants that appear to be linked to poor asthma outcomes later in a child's life.
United States New York Supinda Bunyavanich Gaurav Pandey Emily Henderson Mount Sinai Airway In Asthma

Sensitive, Speedy COVID-19 Test Developed

Researchers from the University of Birmingham have confirmed the speed, accuracy and simplicity of a novel, highly sensitive testing method for COVID-19 that can be deployed at entertainment venues, airport arrival terminals, and in remote settings where clinical testing laboratories are not available.<br />
Jim Tucker Jake Carter Orueta Iturbe Tim Dafforn Andrew Beggs School Of Biosciences

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Researchers confirm the speed, simplicity and accuracy of new COVID-19 testing method

Researchers from the University of Birmingham, U.K., have confirmed the speed, accuracy, and simplicity of a novel, a highly sensitive testing method for COVID-19 that can be deployed at entertainment venues, airport arrival terminals, and in remote settings where clinical testing laboratories are not available.
Jim Tucker Jake Carter Tim Dafforn Andrew Beggs Emily Henderson School Of Biosciences

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