M20 : Machine Learning Prediction of SSRI Response Using fMRI Connectivity
| Students | Moeen Shahid
Andy Wang |
| School | HDSB - Oakville Trafalgar High School - Oakville |
| Level | Intermediate 9/10 - Grade 10 |
| Group | Group 4 - Health Sciences I |
| Abstract | Major Depressive Disorder affects 280 million people globally, yet only 50% respond to first-line SSRI treatment. This project develops machine learning models to predict individual SSRI treatment response using brain connectivity patterns from fMRI scans. By identifying pre-treatment neural biomarkers, we aim to enable personalized treatment selection, reducing trial-and-error prescribing and accelerating remission for patients with depression. |