Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Participants in this HIMSS26 session will have the opportunity to apply what's learned to their organizations and leave with ...

Researchers at Concordia have developed a new method of measuring the amount of usable water stored in snowpacks. The ...

When families decide where to buy a home, when cities approve new development, or when governments decide where to invest ...

To check these predictions, the DES had to combine all four of the methods of investigating dark energy: study of signals ...

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...

New peer-reviewed research demonstrates breakthrough in early detection of adverse pregnancy outcomes for Medicaid patients, ...

Biotech data visualization is often static and fragmented, limiting the ability to see integrated patient journeys and ...

Scientists at the U.S. Department of Energy’s Oak Ridge National Laboratory have designed a ...

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 ...