Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

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 ...

Students who are curious, organized, and outgoing may be more likely to incorporate generative artificial intelligence tools ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

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

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

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

The Bank of England is applying a fusion of machine learning (ML) with economic theory to better understand complex phenomena ...

A research team demonstrates that unmanned aerial vehicles (UAVs) equipped with multispectral sensors can rapidly and accurately estimate two key photosynthetic traits—the maximum carboxylation rate ...

Our study found that people are now able to distinguish between AI-generated and human-authored content only 51% of the time.