A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Aim To identify subgroups of early rheumatoid arthritis (RA) based on comorbidities and RA manifestations and to investigate ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.

For millennia, aging has been viewed as an immutable, inevitable decline. However, a scientific revolution is underway, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

By making the world's microbial DNA easier to explore, a new sequence alignment tool, LexicMap, lets scientists search for a ...

TikTok’s algorithm and board of directors will be “controlled by America” as part of a deal reached with China earlier this week, White House press secretary Karoline Leavitt said Saturday, following ...

Scientists may be a step closer to solving the mystery of Siberia's giant exploding craters. First spotted in the Yamal and Gydan peninsulas of Western Siberia in 2012, these massive holes, known as ...