A team of Canadian researchers, including experts from ICES and BORN Ontario, detailed in a Scientific Reports article a transformer-based deep learning ensemble that predicts autism spectrum disorder by analyzing comprehensive perinatal and health data. The approach, showcasing an AUROC of 69.6%, demonstrates promising early screening potential to facilitate timely diagnostic assessments and interventions.