Rate My Professor Bo Cao

Cao's contributions have garnered over 6,459 citations on Google Scholar, underscoring his impact in the field. Notable publications include 'Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group' (Molecular Psychiatry, 2017), 'Treatment response prediction and individualized identification of first-episode drug-naïve schizophrenia using brain functional connectivity' (Molecular Psychiatry, 2020), 'Hippocampal subfield volumes in mood disorders' (Molecular Psychiatry, 2017), 'The impact of machine learning techniques in the study of bipolar disorder: a systematic review' (Neuroscience & Biobehavioral Reviews, 2017), and 'Lifespan gyrification trajectories of human brain in healthy individuals and patients with major psychiatric disorders' (Scientific Reports, 2017). Recent works feature prospective predictions of anxiety onset using the Canadian Longitudinal Study on Aging (Journal of Affective Disorders, 2024), machine learning for opioid overdose risk, ADHD screening in kindergarten students, and quality of life improvements in depression treatment. His efforts extend to collaborations with institutions like IBM Centers for Advanced Studies Alberta and membership in AI4Society, the Neuroscience and Mental Health Institute, and the Women and Children's Health Research Institute.