How can genetics and data improve care for kids before symptoms even appear?

How can AI be applied to routinely collected health data as a systematic screening tool in areas of neurodevelopment health like autism spectrum disorder (ASD)?    In this episode of Precision Rewired, Dr. Christine Armour, Investigator at the CHEO Research Institute and Clinical Geneticist at CHEO, explores how population-based pregnancy and early childhood health data can be used in innovative ways to improve the early recognition of ASD.    Learn how deep learning is being applied to large-scale health data to explore whether it is possible to systematically identify children who may be at increased likelihood of an ASD diagnosis, with the goal of improving access to assessment, support, and care for children and families.     From translating research into policy to improving population-based screening across Ontario, Dr. Armour shares how research is helping create more informed, equitable, and proactive health systems.     Listen on YouTube, Spotify, and Apple Podcasts.   Read the full transcript here: https://share.descript.com/view/aFGAqbkO7da