A machine learning approach to identifying healthy aging: developing healthy aging phenotypes and personas in the Canadian Longitudinal Study on Aging Learn More
Development of interpretable machine learning models for fall prediction in older adults using the CLSA comprehensive dataset Learn More
Predicting disease progression in age-related macular degeneration using genetic, retinal pathology biomarkers, demographic and environmental factors Learn More
Machine-learning approaches to predicting cognitive decline and cognitive impairment in CLSA participants Learn More
Enabling precision management of ophthalmic disease through discovery of underlying biological pathways and clinical prediction tool development Learn More
Health behaviour profiles and predicting health outcomes from risky health behaviour combinations Learn More
