The Lancet

Identification of drug repurposing candidates for amyotrophic lateral sclerosis using electronic health records: a retrospective cohort study

To our knowledge, this analysis is the largest EHR-based study for identifying drug repurposing candidates for ALS. We identified several drugs that warrant further assessment as therapeutic options ...
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 ...

This scientist is racing to predict deadly volcanic mudslides

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
Tech Xplore

Early-warning model developed to predict toxic social media storms

Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict harmful social media interactions before they erupt, paving the way for ...
EurekAlert!

UAlbany, Rutgers researchers develop early-warning model to predict toxic social media storms

Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict harmful social media interactions before they erupt, paving the way for ...
Tech Xplore

Deep AI training gets more stable by predicting its own errors

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.

Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
IEEE

Change Detection in Satellite Images using Deep Learning

Abstract: For the purpose of tracking environmental changes, urbanization, and natural disasters, change detection in satellite imagery is essential. New developments in deep learning, especially by ...
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 ...