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
Abstract:
Estimates for the UK suggest that alcohol consumption during pregnancy and the prevalence of fetal alcohol spectrum disorders (FASD) – the most common neurodevelopmental condition – are high. Considering the significant health and social impacts of FASD, there is a public health imperative to prioritise recognition, prevention, interventions, and support.
In this talk, we (i) outline the current state of play regarding FASD knowledge and research in the UK, with a focus on the clinical challenges faced,(ii) highlight the impacts of polysubstance use such as concomitant alcohol and smoking, and (iii) describe the application of machine learning and computer vision to assist clinicians with the recognition of FASD-associated features used for diagnosis.
Bio:
Michael is a PI and group leader in the WRH and Big Data Institute. He leads a project focused on identifying the interactions between the morphology of the face and brain, and neurocognitive impairments that result from alcohol teratogenesis. Michael and his team are currently developing translational approaches to integrate into the clinical workflow, using machine learning, computer vision and 3D morphological analysis to better understand and identify those affected.
