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Using AI and ML to advance frailty detection and management
The combination of aging alongside chronic conditions such as primary biliary cholangitis leads to accelerated muscle mass loss that impacts physical function. At advanced stages, this is termed frailty. Frailty is one of the strongest predictors of poor clinical outcomes including death. In this project we will use multidimensional digital health data and artificial intelligence and machine learning techniques to develop algorithms to predict frailty and tailor recommendations for frailty management.
Faculty Supervisor:
Puneeta Tandon;Irene Cheng
Student:
Partner:
Canadian PBC Society
Discipline:
Computer science
Sector:
Health and Related Sciences & Technology
University:
University of Alberta
Program:
Accelerate
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