The AI revolution has transformed behavioral and cognitive research through unprecedented data volume, velocity, and variety (e.g., neural imaging, ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...

Gonzalo Arce College of Engineering — Electrical and Computer Engineering arce@udel.edu Machine learning, data science, graph signal and data processing, geometrical neural networks, statistical ...

Objectives This review aimed to provide a pooled estimate of injury incidence and epidemiology in women’s ice hockey.Methods A systematic review and meta-analysis were conducted by searching PubMed ...

In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...

A new analysis of scientific practices suggests that a researcher’s personal political views may influence the results they obtain when analyzing complex data. The study provides evidence that when ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

A new review including over 100 clinical trials has found that no induction method was clearly effective than low-dose vaginal misoprostol, although some methods were less effective and safety ...

Unlike common enzyme immunoassay methods (ELISA), mass spectrometry accurately determines the mass of molecules, ensures high ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...