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Artificial Intelligence Can Detect Alzheimer's At 95% Accuracy


Researchers have developed software that detects Alzheimer's using artificial intelligence (AI) at 95% accuracy. Stevens Institute of Technology researchers have developed software that detects subtle changes in Alzheimer's patients' languages. Also, it can explain the diagnosis and allows physicians to re-check the findings. "This is a real breakthrough," said Stevens Institute of Technology lead researcher K.P. Subbalakshmi adding that we are "opening an exciting new field of research." Subbalakshmi is the founding director of the Stevens Institute of Artificial Intelligence as well as an electrical and computer engineering professor at the Charles V. Schaeffer School of Engineering.

A new wearable device that can spot Alzheimer's early could be available in the next few years


A new device that could spot the early signs of Alzheimer's is currently being developed. The Early Detection of Neurodegenerative diseases (Edon) project is being supported by Alzheimer's Research UK, and has already won funding from Microsoft's co-founder, Bill Gates. Researchers will start by analysing data from studies into the condition, which will then be used to design a prototype for a wearable design (like a smartwatch), in the next three years. The wearable device will collect data like gait, heart rate and sleep patterns, and scientists hope they can use it to spot the condition, years before symptoms appear. This is extremely important as advanced Alzheimer's is generally irreversible, which makes early diagnosis crucial.

New AI tool can predict Alzheimer's risk


Toronto: A team of scientists, including one of an Indian-origin, has successfully trained a new Artificial Intelligence (AI) algorithm that may soon help doctors to make accurate predictions regarding cognitive decline leading to Alzheimer's disease and provide intervention. The team, from the McGill University in Canada, designed an algorithm that learns signatures from magnetic resonance imaging (MRI), genetics, and clinical data. This specific algorithm can help predict whether an individual's cognitive faculties are likely to deteriorate towards Alzheimer's in the next five years. "At the moment, there are limited ways to treat Alzheimer's and the best evidence we have is for prevention. Our AI methodology could have significant implications as a'doctor's assistant' that would help stream people onto the right pathway for treatment," Mallar Chakravarty, assistant professor at the University's Department of Psychiatry.

Researchers developed an AI that scours existing drugs for new Alzheimer's treatments


Alzheimer's disease is becoming increasingly prevalent as life expectancies lengthen. But the complexity of the condition makes it hard to find effective treatments. One way to expedite the search that's yielded promising results is using AI to find existing drugs that could be repurposed to combat the disorder. Harvard researchers recently used the approach to identify 80 candidate medications that merit further investigation. They discovered the contenders through a framework they call DRIAD (Drug Repurposing In Alzheimer's Disease).

Artificial Intelligence Tool Diagnoses Alzheimer's with 95% Accuracy


The algorithm can detect subtle differences in the way people with Alzheimer’s disease use language. Artificial intelligence tool diagnoses Alzheimer’s …