Good news for those who fear Alzheimer’s: a team of researchers has developed an artificial intelligence (AI) system that can accurately predict the onset of the disease up to 7 years in advance, according to Mediafax. The system analyzes millions of health records and identifies patterns linking Alzheimer’s to other conditions A team from the University of California, San Francisco (UCSF) and Stanford University applied machine learning methods to more than 5 million health records, training artificial intelligence to identify patterns linking Alzheimer’s of other conditions. The resulting system isn’t perfect, but when tested with information from people known to have developed Alzheimer’s later, the AI was able to accurately predict its onset 72 percent of the time — by up to 7 years in advance, in some cases. The AI system’s predictive power comes from its ability to combine analyzes of multiple risk types to calculate the likelihood of Alzheimer’s disease. The findings could tell us more about the causes of the disease, as well as who might be vulnerable to it.” It’s a first step towards using artificial intelligence on routine clinical data, not only to identify risk as early as possible, but also to understand the biology behind it,” says UCSF bioengineer Alice Tang. The model detected a number of conditions that could be used to calculate Alzheimer’s risk, including high blood pressure, high cholesterol, vitamin D deficiency and depression . Erectile dysfunction and an enlarged prostate were also significant factors in men, and osteoporosis (a skeletal condition) was significant in women. The AI system is a prediction tool, not a diagnosis, stiripesources.ro cites.
2024-03-17 23:48:29
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