OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, 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.
