Scientists develop AI-based method to diagnose Alzheimer's or Parkinson's
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[QUOTE]Alzheimer's disease, which currently affects more than 40 million people, is the most common neurodegenerative disease in elderly people. Early diagnosis is crucial both to treat the disease and to help the development of new medicines, as it hasn't been possible to find a cure so far. The development of Alzheimer's has been proven to be closely linked to both structural changes in gray matter and functional changes in the white matter connecting the regions of the brain. In the brain connectivity network, a significant loss of white matter fibers also causes functional alterations such as memory loss. However, diagnosis remains a challenge, and to date, it hasn't been possible to determine how functional cerebral activity contributes to the deterioration of structural activity and vice versa.
In this regard, computer-aided diagnosis (CAD) is an important tool that helps physicians to understand multimedia content obtained in tests carried out with patients, which allows simpler treatment. One such procedure is medical imaging, which provides high-resolution "live" information on the subject. The BioSip research team of the University of Malaga, in collaboration with a group of researchers from the University of Granada, has been studying biomedical images and signals for years.
Researchers Andrés Ortiz, Jorge Munilla, Juan Górriz and Javier Ramírez have recently published an article in the International Journal Of Neural Systems titled "Ensembles of deep learning architectures for the early diagnosis of the Alzheimer's disease." The study presents a deep-learning technique for the diagnosis of Alzheimer's by the joint analysis of functional and structural images.
This artificial intelligence (AI) technique aims to model high-level data abstractions in order to enable computers to differentiate the brain of a healthy person from that of an ill person by automatically extracting the affected regions of interest. The researchers write, "The study uses deep learning techniques to calculate brain function predictors and magnetic resonance imaging to prevent Alzheimer's disease. To do this, we have used different neural networks with which to model each region of the brain to combine them afterwards."[/QUOTE]
[url]https://medicalxpress.com/news/2017-02-scientists-ai-based-method-alzheimer-parkinson.html[/url]
I'm glad more and more progress is being made on Alzheimer's. My nana suffers from dementia and it's been painful to watch her slowly lose herself. The sooner we find a definite prevention for it the better.
[QUOTE=Weirdness;51856681]I'm glad more and more progress is being made on Alzheimer's. My nana suffers from dementia and it's been painful to watch her slowly lose herself. The sooner we find a definite prevention for it the better.[/QUOTE]
Same here. Grandmother passed away ~10 years ago now from Alzheimer's and the whole experience near was horrific. I'm always glad to hear about more advances in the area.
To the above posters, I'm sorry to hear that :frown:
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