A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and clinically challenging dental anomalies encountered today,” says Thikriat ...

Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...

Andrew Michael is a former Deputy Editor at Forbes Advisor. He is a multiple award-winning financial journalist and editor with a special interest in investment and the stock market. His work has ...

NFL free agency opens with the legal negotiating window on March 9. Here's latest re-signings, trades and bits of intel. Stephen A. Smith details why it makes sense for the Colts to put the transition ...