Enhanced detection of Cystatin C for predicting adverse outcomes in gestational diabetes mellitus using a point-of-care immunosensor.

Cystatin C (Cys-C) is emerging as a critical biomarker for assess gestational diabetes mellitus (GDM), a condition that significantly impacts maternal and fetal health. In this study, we developed a novel label-free electrochemical immunosensor designed for point-of-care applications, offering lower reagent consumption and rapid detection of Cys-C in pregnant women with GDM. Compared to traditional enzyme-linked immunosorbent assays (ELISA), the sensor demonstrates enhanced sensitivity, reduced reagent usage, and faster detection.

Intelligent Fault Diagnosis of Planetary Gearbox Across Conditions Based on Subdomain Distribution Adversarial Adaptation.

Sensory data are the basis for the intelligent health state awareness of planetary gearboxes, which are the critical components of electromechanical systems. Despite the advantages of intelligent diagnostic techniques for detecting intricate fault patterns and improving diagnostic speed, challenges still persist, which include the limited availability of fault data, the lack of labeling information and the discrepancies in features across different signals. Targeting this issue, a subdomain distribution adversarial adaptation diagnosis method (SDAA) is proposed for faults diagnosis of planetary gearboxes across different conditions.

Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity.

Objective: To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities.

Methods: The data set was collected from the Chinese medicine (CM) electronic medical records of 33,458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then, a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities.