Early Diagnosis

This study aims to develop and validate a test for detecting ovarian and endometrial cancers early. It relies on detecting somatic mutations that are associated with these cancers from a uterine pap test. A saliva sample is also collected that acts as an internal control and has the ability to detect deleterious germline mutations associated with common hereditary cancers (such as breast, ovarian, endometrial, colon, and pancreatic cancers). A machine learning classifier is then used to discriminate between cancer and benign disease.

Diabetic kidney disease(DKD) is a leading cause of chronic kidney disease and end-stage renal disease across the world. Early identification of DKD is vitally important for the effective prevention and control of it. However, the available indicators are doubtful in the early diagnosis of DKD. This study aims to develop a novel system of multidimensional network biomarkers (MDNBs) to estimating early diabetic nephropathy, and further validating the performance of the novel systemin in prediction of the risk for early diabetic nephropathy by a nested case-control study.