This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

OXFORD, England--(BUSINESS WIRE)--Diffblue today announced the general availability of the Diffblue Testing Agent, an autonomous regression test generator that works with an enterprise’s existing AI ...

Flow diverters (FDs) are increasingly used for unruptured paraclinoid aneurysms, especially large or giant ones. However, their benefit over conventional endovascular therapy remains unclear. This ...

Effect of digital Ki67-based risk modeling on prognostic precision in non–muscle-invasive bladder cancer and high-risk subsets in mixed-grade tumors. Prospective multicenter development and external ...

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...

Abstract: Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's ...

The problem with Solana right now is that it is too highly leveraged to the future of speculative meme coins. According to some estimates, almost 50% of all revenue generated by the Solana blockchain ...

With the rapid development of electronic networks, consumer online purchasing behavior data presents massive growth and diverse characteristics. How to accurately predict purchasing behavior based on ...

Machine learning models can accurately predict survival outcomes after surgery for upper tract urothelial cancer, offering a potential tool to guide post operative management and follow up intensity.

Artificial intelligence (AI) is entering a decisive phase—one defined less by speculative breakthroughs than by the hard realities of governance, adoption, and strategic competition. As AI systems ...