Team Uses Machine Learning, Proteomics to Develop Accurate ALS Blood Test
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A blood test has been developed that can detect amyotrophic lateral sclerosis (ALS) and possibly other cognitive brain diseases. The test uses machine learning and proteomics to analyze a blood sample, and it may be able to predict disease risk and detect ALS years or even up to a decade before symptoms appear. The test's accuracy and potential applications are being reported, although the specifics of its development and capabilities are not entirely clear.
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