Implementation of multi-biomarkers algorithm for detection in Chinese obese individuals with non-alcoholic fatty liver disease
Grant Data
Project Title
Implementation of multi-biomarkers algorithm for detection in Chinese obese individuals with non-alcoholic fatty liver disease
Principal Investigator
Professor Xu, Aimin
(Principal Investigator (PI))
Co-Investigator(s)
Professor Wang Cunchuan
(Co-Investigator)
Dr Singh Kailash
(Co-Investigator)
Duration
36
Start Date
2020-07-01
Amount
1497244
Conference Title
Implementation of multi-biomarkers algorithm for detection in Chinese obese individuals with non-alcoholic fatty liver disease
Presentation Title
Keywords
Diagnosis, Machine Learning, Multi-omics, NAFLD, NASH, Prediction Model
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
07182726
Grant Type
Health and Medical Research Fund - Full Grant
Funding Year
2019
Status
On-going
Objectives
Non-alcoholic fatty liver disease(NAFLD) is a spectrum of chronic liver disease with high association with obesity, diabetes and metabolic syndrome. We aimed to interrogate the diagnostic values of circulating biomarkers in staging of NAFLD especially Non alcoholic Steatohepatisis(NASH). We then prioritize and select prominent biomarkers and develop a multi-biomarkers based algorithm for prediction in NASH.