A University of Plymouth team developed a deep-learning model that classified autism with up to 98% accuracy using fMRI data.

Researchers from the University of Plymouth (UK) have developed and tested a deep learning model which, in a newly-published research study, has been shown to achieve up to 98% accuracy in ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...