UCL ACED Seminar
15 January 2020, 12:30 pm–4:00 pm
![ACED International Alliance for the Early Detection of Cancer](https://www.ucl.ac.uk/cancer/sites/cancer/files/styles/large_image/public/events/aced.jpg?itok=NA6Xym_U)
A new series of informal seminars including presentations to highlight research in cancer early detection across UCL.
Event Information
Open to
- All
Availability
- Yes
Organiser
-
Dan Kelberman
Location
-
G.10/G.11Charles Bell House43-45 Foley StreetLondonW1W 7TY
Programme:
- 12.30 Lunch
- 13.00 VERDICT MRI for non-invasive tumour microstructure characterisation
Laura Panagiotaki, Centre for Medical Image Computing - 13.30 Tracing clonal evolution of gastric cancer pre-cursors, developing a quantitative model of cancer risk prediction
Will Waddingham, Cancer Institute - 14.00 Tea and Coffee
- 14.15 Machine learning for detecting prostate cancer on multiparametric MR images
Yipeng Hu, Dept of Medical Physics and Biomedical Engineering - 14.45 Risk-stratification in early detection of cancer
Nora Pashayan, Institute of Epidemiology and Health - 15:15 Longitudinal and Network Serum Biomarker Models for the Early Detection of Ovarian Cancer
John Timms, Institute for Women’s Health - 15.45 Close
The International Alliance for Cancer Early Detection (ACED) is a new £55 million partnership between Cancer Research UK, the Canary Center at Stanford University, the University of Cambridge, the Knight Cancer Institute at OHSU, University College London and the University of Manchester.
![ACED International Alliance for the Early Detection of Cancer](https://www.ucl.ac.uk/cancer/sites/cancer/files/styles/xl_image/public/aced_partner_logo_banner.jpg?itok=eLzrSC4-)