Devdiscourse

AI predicts agitation in dementia patients using sleep and physiological data

Sleep disturbances are a key contributor to agitation. Poor sleep quality, characterized by frequent awakenings, insomnia, and fragmented rest, affects up to half of dementia patients in advanced ...

Challenging negative data helps AI models better identify effective antibodies

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.
Technology Networks

Deep Learning Model Reaches 98% Accuracy in Autism Detection

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

AI model offers accurate and explainable insights to support autism assessment

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and ...
Scientific Research Publishing

Accurate Classification of Diabetes via PM Generative AI ()

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

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

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 ...