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
Digital phenotyping is an approach to use data collected from patients with new machine learning approaches extract biological information. I am working to explore how analysis of placenta histology data can predict adverse health outcomes for infants and detect developmental indicators of increased risks earlier than currently possible. We show that deep learning approaches can delineate placental cell phenotypes from histology images. The aim is to extract phenotype signatures from placental histology to capture larger scale tissue and organ level information.
Our vision is to use non-invasive data sources to help diagnose developmental impairments and predict health outcomes in early life.
