State-of-the-art AI methods used to study Alzheimer’s
October 2020
USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Los Angeles, USA
In the National Institutes of Health-funded initiative "Ultrascale Machine Learning to Empower Discovery in Alzheimer's Disease Biobanks" (AI4AD), 11 research centres have joined forces to use artificial intelligence and machine learning to support Alzheimer's research into causes and treatments. Experts from computer science, genetics, neurosciences and imaging sciences are involved.
The project's first objective is to identify genetic and biological markers that predict Alzheimer's diagnosis and distinguish between several subtypes of the disease. To accomplish this, the research team will apply sophisticated AI and machine learning methods to a variety of data types, including tens of thousands of brain images and whole-genome sequences. The investigators will then relate these findings to the clinical progression of Alzheimer's, including in patients who have not yet developed dementia symptoms. The AI methods will be trained on large databases of brain scans to identify patterns that can help detect the disease as it emerges in individual patients.
State-of-the-art AI methods used to study Alzheimer’s
Paul Thompson
Added on: 11-19-2020
[1] https://www.technologynetworks.com/neuroscience/news/state-of-the-art-ai-methods-used-to-study-alzheimers-341948
