阿尔兹海默病的隐藏风险因素有望被人工智能技术检测(2)

　　In a new study， USC researchers used machine learning to identify potential blood-based markers of Alzheimers disease that could help with earlier diagnosis and lead to non-invasive ways of tracking the progress of the disease in patients。 The method was developed by USC computer science research assistant professor Greg Ver Steeg， a senior research lead at the USC Information Sciences Institute (ISI)。 Machine learning is a subset of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed。。。。。。

　　原标题：科学家有望利用人工智能技术来检测阿尔兹海默病的“隐藏”风险因素