This research program aims to improve population health by offering precise estimations of individuals' risk and accurate characterization of mental disorders co-existing with physical diseases and exploring potential intervention targets across various demographic groups. It will leverage novel technologies (digital health, artificial intelligence) and methodologies (longitudinal data and advanced analytics) to tackle current obstacles in precision medicine. The infrastructure supporting the program includes a digital phenotyping platform, AI and advanced data analytics, and software. Using an intersectionality lens, the research program will produce new disease prevention tools required to achieve effective patient-centred and individualized interventions adapted to various population groups, and better quality of life and well-being. The deliverables will be mobilized broadly with collaborative interest holders from various sectors.
New research spaces
Transforming mental health and multimorbidity care: leveraging AI, digital phenotyping, and advanced statistics
Project led by professor Xiangfei Meng
Improving access to rehabilitation services for people living with complex rehabilitation needs using telerehabilitation
Project led by professors Jennifer O’Neil and Martin Bilodeau
Access to rehabilitation services is limited due to an alarming increase in needs and insufficient service provision options. Telerehabilitation is quickly expanding and being accepted as a reliable option to improve access to equitable rehabilitation services. However, data supporting this claim remain limited for those with complex needs. This research program will investigate the use of telerehabilitation from a rigorous health system strengthening lens to improve access to high-quality telerehabilitation services for people living with complex needs. Using a community-based participatory research approach in partnership with individuals with neurological conditions, the program will develop a telerehabilitation service delivery framework. A hub-and-spoke model will be used to investigate: (1) accessibility, acceptability, and effectiveness, (2) remote assessment, and (3) implementation strategies. Findings will inform strategies to enhance health system efficiency and impact future telerehabilitation co-development, adoption and shared decision making, in line with federal and provincial digital health strategies.
Successul CFI-funded projects officially announced between May 1, 2025, and April 30, 2026, are featured in this report.