Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Google is using old news reports and AI to predict flash floods

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...
EurekAlert!

Improving AI models’ ability to explain their predictions

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...
Columbia Journalism Review

Are Prediction Markets Actually Good for Journalism?

Dustin Gouker, the author of a Substack about prediction markets, says the media could benefit from keeping an eye on Kalshi ...
eLife

Butyrate rescues chlorpyrifos-induced social deficits through inhibition of class I histone deacetylases

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States College of Health Solutions, Arizona State University, Phoenix, United States ...
IEEE

Utilizing Radiomics and Deep Learning to Predict Post-Contrast Information From Contrast Agent-Free Cine Cardiac Magnetic Resonance Imaging

Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...