OxTalks is Changing
During Michaelmas Term, OxTalks will be moving to a new platform (full details are available on the Staff Gateway).
For now, continue using the current page and event submission process (freeze period dates to be advised).
If you have any questions, please contact halo@digital.ox.ac.uk
"Digital phenotyping of placenta histology". (Dr Christoffer Nellåker, NDWRH).
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.
Date:
15 October 2019, 13:00
Venue:
John Radcliffe Women's Centre, Headington OX3 9DU
Venue Details:
The Anne Anderson Lecture Theatre, Level 3
Speaker:
Dr Christoffer Nellåker (University of Oxford)
Organising department:
Nuffield Department of Women's and Reproductive Health
Organiser:
Dr Jen Southcombe (University of Oxford)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Susie Barber
