Summary

Uses machine learning to analyze multimodal datasets for suicide risk prediction. Funded by American Foundation for Suicide Prevention (AFSP) in collaboration with Karolinska Institute and University of North Carolina. Aims to create world's largest suicide dataset, discover genetic and environmental risk factors, and develop predictive models using 4000 suicide deaths as training.