On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Early detection of autism is an essential first step toward access to intervention and services, which can improve quality of life and long-term outcomes. Although autism screening questionnaires are useful, they require literacy and have lower accuracy in real-world settings. Thus, there remains a need for feasible, accurate, and scalable methods for directly observing and quantifying early signs of autism. We have validated a digital phenotyping application (SenseToKnow) which can be remotely administered on a smartphone or tablet and uses computer vision and machine learning to accurately detect autism in young children. This presentation will discuss how SenseToKnow and other computational approaches based on machine learning are transforming methods for the early detection of autism.
