Victoria Marshe - 2016 to 2019
Centre for Addiction and Mental Health

"Unraveling antidepressant response: Genetic and microRNA Biomarker Integration to Predict Response in Late-life Depression Using Machine Learning Models"

Major depression affects almost two million Canadians per year, and is the leading cause of years lost due to disability in Ontario, more than all cancers and infectious diseases combined. Older adults with depression are particularly at an increased risk of significant impairment, cognitive decline, increased risk for dementia, and the highest rates of suicide of any age group without timely diagnosis and effective treatment. This research project will explore the potential to develop a computational model using individual biological and clinical characteristics to predict response to commonly prescribed antidepressants.