The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

In this study, we investigated whether structural brain MRI has potential to be a clinically useful tool for diagnosing FND. Individuals with FND, a common, costly and potentially disabling condition ...

Functional verification is computationally and data-intensive by nature, making it a natural target of machine learning applications. This paper provides a comprehensive and up-to-date analysis of FV ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Hong Kong Polytechnic University scientists report that multigenerational exposure to microplastic-contaminated prey reverses natural food preferences in nematodes, revealing a learned attraction to ...