Alzheimer's has four distinct types; scientists find using machine learning [details]


When it comes to neurodegenerative diseases, Alzheimer's disease is considered one of the worst. It promotes the onset of dementia--an irreversible decline in thinking, memory, and ability to perform simple everyday tasks--in around 60 to 70 percent of patients. Now, researchers have suggested that the disease can be divided into four distinct subtypes; potentially opening doors for individualized treatment among sufferers. In an international study, scientists illustrated that tau--proteins found in neurons that are associated with neurodegenerative conditions--spread through the brain in four distinct patterns. This leads to varied symptoms and outcomes among affected individuals. Machine learning (ML) was leveraged by the authors to distinguish between the different subtypes.

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