Associate ProfessorFrank Iorfino

Digital personalised assessment and support tools in child neurodevelopment

BMC compact with UofT in (1) Student Mental Health and Wellbeing, (2) AI Transformation in Mental Health Care and (3) Early Intervention in Youth Mental Health

From complexity to clarity: individual-level models for personalised youth mental health care

Testing a causal model of sleep and circadian rhythm disturbance and youth-onset mood disorders. RESTORE/MELODY

Left to their own devices: Addressing the unmet needs of youth and their GPs during the wait time for mental health treatment

BMC compact with UofT - Child Youth Mental Health, early child development and related use of digital technologies

Using AI to personalise treatment decisions in youth mental health services

Enabling pharmacogenomics in the Australian context: improving the accuracy of clinical utility and cost effectiveness analyses

Using risk profiles to overcome challenges in incorporating polygenic risk scores into clinical mental health practice.

A large-scale clinical effectiveness (health services research) trial of personalised health care packages and digitally-supported measurement-based care, to improve functional outcomes in young people with mood disorders

Predictive modelling of functional outcomes in youth mental health and evaluating its real-world utility

Explainable machine learning to improve youth mental health care

Using a dynamic simulation model to guide the development and implementation of health service strategies that improve functional outcomes for young people