An AI model is able to calculate a patient's risk of Alzheimer's based on other conditions they already have. The model accurately predicted Alzheimer's in 72% of patients up to seven years in advance.
An AI model is able to calculate a patient's risk of Alzheimer's based on other conditions they already haveShe said: “This is a first step towards using AI on routine clinical data, not only to identify risk as early as possible, but also to understand the biology behind it.dementiaAlzheimer’s disease is the most common form of the condition, and is thought to be caused by build-ups of proteins in the brain, including tau and amyloid.
The AI system was able to accurately predict Alzheimer’s in 72 per cent of patients that went on to suffer from the disease up to seven years in advance.“Our finding that osteoporosis is one predictive factor for females highlights the biological interplay between bone health and dementia risk.” Dr Marina Sirota, of UCSF, said: “This is a great example of how we can leverage patient data with machine learning to predict which patients are more likely to develop Alzheimer’s, and also to understand the reasons why that is so.”WE all notice a natural decline in memory and thinking as we age.
This will be more pronounced in some people, as they experience memory and thinking problems that are mild but still noticeable. This is described as mild cognitive impairment . Unlike dementia sufferers, people with MCI can still get on with day-to-day life.of 65 have MCI, according to Alzheimer's Research UK.Disorientation - confusion about time, date or placetasks, e.g. managing money, or cooking a mealThese symptoms may affect someone with MCI all the
AI Alzheimer's Risk Prediction Patient Data Machine Learning
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