Tianjin Medical University Reports Findings in Type 2 Diabetes (Interpretable ma chine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients)
Tianjin Medical University Reports Findings in Type 2 Diabetes (Interpretable ma chine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - Type 2 Diabetes is the subject of a report. Accord ing to news reporting originating in Tianjin, People’s Republic of China, by New sRx journalists, research stated, “The co-occurrence of kidney disease in patien ts with type 2 diabetes (T2D) is a major public health challenge. Although early detection and intervention can prevent or slow down the progression, the common ly used estimated glomerular filtration rate (eGFR) based on serum creatinine ma y be influenced by factors unrelated to kidney function.” diabetes (T2D) is a major public health challenge. Although early detection and intervention can prevent or slow down the progression, the common ly used estimated glomerular filtration rate (eGFR) based on serum creatinine ma y be influenced by factors unrelated to kidney function.”
Key words
Tianjin/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Health and Medicine/Hospitals/Machine Learn ing/Non-Insulin Dependent Diabetes Mellitus/Nutritional and Metabolic Diseases and Conditions/Risk and Prevention/Type 2 Diabetes
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