Publications by authors named "Xiaohu Niu"
Article Synopsis
- A new digital immunoassay system has been developed that uses microparticles and AI to detect multiple targets with high sensitivity.
- This system works by encoding information in the properties of microspheres, allowing for quick identification and quantification of various substances in a single test.
- The technology is integrated with a microfluidic platform and can analyze multiple inflammatory markers and antibiotics in just 30 minutes, making it a promising tool for clinical diagnosis and environmental monitoring.
The development of a multitarget ultrasensitive immunoassay is significant to fields such as medical research, clinical diagnosis, and food safety inspection. In this study, an artificial intelligence (AI)-assisted programmable-particle-decoding technique (APT)-based digital immunoassay system was developed to perform multitarget ultrasensitive detection. Multitarget was encoded by programmable polystyrene (PS) microspheres with different characteristics (particle size and number), and subsequent visible signals were recorded under an optical microscope after the immune reaction.
View Article and Find Full Text PDFObjective: To assess whether serum magnesium concentration can predict risk of short-term outcome of acute ischemic stroke.
Methods: Between January 1, 2006 and December 31, 2008, 1493 patients with acute ischemic stroke were recruited from four hospitals in Shandong province, P.R China.
[Association between concentrations of serum magnesium and the short-term outcome of patients with acute ischemic stroke].
Zhonghua Liu Xing Bing Xue Za Zhi
November 2012
Objective: To explore the relationship between the concentration of serum magnesium and the short-term outcome of patients with acute ischemic stroke, in order to provide evidence for improving the outcomes.
Methods: Patients with acute ischemic stroke under study, were from four hospitals in Shandong province. Data on demographic characteristics, life style related risk factors, history of cardiovascular disease, blood pressure at admission and other clinical characteristics were collected for all the participants.