Atypical femoral fractures - a personalised risk assessment tool powered by machine learning combining clinical, radiographic, and genetic risk factors
Grant Data
Project Title
Atypical femoral fractures - a personalised risk assessment tool powered by machine learning combining clinical, radiographic, and genetic risk factors
Principal Investigator
Dr Wong, Siu Him Janus
(Principal Investigator (PI))
Co-Investigator(s)
Dr Fang Christian Xinshuo
(Co-Investigator)
Professor Leung Frankie Ka Li
(Co-Investigator)
Professor Tan Kathryn Choon Beng
(Co-Investigator)
Dr Lui Tun Hing
(Co-Investigator)
Dr Fang Xin Hao Benjamin
(Co-Investigator)
Dr Li Hoi Yee
(Co-Investigator)
Dr Zhang Teng
(Co-Investigator)
Dr Cheung Ching Lung
(Co-Investigator)
Dr Hu Yong
(Co-Investigator)
Duration
24
Start Date
2022-10-09
Amount
95895
Conference Title
Atypical femoral fractures - a personalised risk assessment tool powered by machine learning combining clinical, radiographic, and genetic risk factors
Presentation Title
Keywords
Atypical femoral fracture, Bisphosphonate, Fracture, Genotype-phenotype correlation, Machine learning, Osteoporosis
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
19201491
Grant Type
Health and Medical Research Fund - Mini Grant
Funding Year
2021
Status
On-going
Objectives
To develop an atypical femoral fracture (AFF) risk assessment tool combining clinical, radiographic, and genetic risk factors using machine learning methods, for an ageing population with prevalent osteoporosis and increased use of anti-resorptive drugs.