首页|Southeast University Reports Findings in Machine Learning (Associations between per- and polyfluoroalkyl chemicals and abdominal aortic calcification in middle- aged and older adults)
Southeast University Reports Findings in Machine Learning (Associations between per- and polyfluoroalkyl chemicals and abdominal aortic calcification in middle- aged and older adults)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Nanjing, People’s Republ ic of China, by NewsRx journalists, research stated, “Per- and polyfluoroalkyl s ubstances (PFAS) have infiltrated countless everyday products, raising concerns about potential effects on human health, specifically on the cardiovascular syst em and the development of abdominal aortic calcification (AAC). However, our und erstanding of this relationship is still limited.”
NanjingPeople’s Republic of ChinaAsiaChemicalsCyborgsEmerging TechnologiesMachine Learning
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