New research published in mBio, an open-access journal of the American Society for Microbiology, addresses the potential uses of two main types of tests SARS-CoV-2, nucleic acid amplification tests for viral RNA and antibody detection tests.
Doctors and nurses in emergency departments at four academic centers and four community hospitals in the Northeast reported a wide range of emotions triggered by patients, hospital resources and societal factors, according to a qualitative study led by a University of Massachusetts Amherst social psychologist.
More than 1 out of 3 heart doctors in the US report feeling burned out, according to results of a new survey presented at the American College of Cardiology's Annual Scientific Session Together with World Congress of Cardiology (ACC.20/WCC).
An experimental drug recently concluded a successful third-phase clinical trial and could potentially offer a new treatment for about 300,000 Canadians who have worsening chronic heart failure. The VICTORIA (Vericiguat Global Study In Subjects With Heart Failure With Reduced Ejection Fraction) clinical trial examined the effects of a drug called vericiguat on patients at a high risk of death or hospitalization from heart failure.
Nearly a millennium and a half ago, red light streaked the night sky over Japan. Witnesses compared it to the tail of a pheasant -- it appeared as a fan of beautiful red feathers stretched across the sky. Since the event, scientists have studied the witness accounts written in the year 620 A.D. and speculated about what the cosmic phenomenon could have actually been. Now, researchers from The Graduate University for Advanced Studies may have found the answer.
Tokyo, Japan - Researchers from Tokyo Metropolitan University have used machine learning to study spin models, used in physics to study phase transitions. Previous work showed that image/handwriting classifying AI could be applied to distinguish states in the simplest models. The team showed the approach is applicable to more complex models and found that an AI trained on one model and applied to another could reveal key similarities between distinct phases in different systems.