Reference:Shah Z, Qi SA, Wang F, et al. Exploring language-agnostic speech representations using domain knowledge for detecting Alzheimer’s dementia. Presented at: IEEE International Conference on ...

In the case of Alzheimer's, machine learning and artificial intelligence (AI) are helping scientists pinpoint risks faster than ever, a key development because earlier detection is becoming more ...

Their results demonstrate that deep learning-based approaches can help improve diagnosis not only for AD but also for other neurological disorders. “Alzheimer’s has no cure yet.

And Paschalidis says the information they put into the machine learning program is rough around the edges: the recordings, for example, are messy - low-quality and filled with background noise.

For the Gladstone study using VAME, the team evaluated two types of mice that simulated different aspects of Alzheimer's. In both models, the machine learning tool identified a significantly ...

The study takes vehicle data, including trip length, time of trip from point A back to point A, and how many times a driver brakes hard during the trip and plugs it into an algorithm that helps ...

IBM's research describes a way to harness machine learning to predict the concentration of amyloid-beta in spinal fluid based on algorithms which are able to identify sets of proteins in the blood.

In a study published in Cell Reports, a team of scientists at Gladstone Institutes used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice ...

One of the paper’s authors, Mark W. Albers, an assistant professor of neurology at HMS, said DRIAD was built based on data from 1,500 patients experiencing Alzheimer’s disease at different stages.