Workshop schedule
Preliminary schedule, subject to change.
All bookings are through Eventbrite.
Time | Activity | Speaker |
9.30 | Arrival, registration and coffee | |
10.00 | Welcome and introduction | |
10.10 | Northwest Cancer Research (NWCR)
H&N cancer. What is it? Why is it such a big problem in the area? What NWCR fund |
Alastair Richards Northwest Cancer Research |
10.30 | Clinical Head & Neck Radiotherapy
Treating H&N cancer at Rosemere Cancer Centre. Data questions. What would it help if we knew? The ongoing dialogue: how to combine data research with clinical practice. |
Professor Glyn Shentall, Rosemere Cancer Centre, Royal Preston Hospital |
11.00 | The Radiotherapy Machine Learning Network:
Thoughts, feedback and potential research areas. |
Dr Rob Lyon
Edge Hill University |
11.30 | Machine Learning an Introduction
5 minute talks on a variety of ML topics including: Neural networks, Random Forests, Clustering, and Supervised vs Unsupervised Learning |
PhD students from STOR-i, Lancaster University |
12.00 | Lunch | |
13.00 | Examples of ML for H&N.
Including contouring inter observer variability, Image based data mining, modelling the effect of time varying organ deformations on H&N cancer and Convolutional network models. |
Dr Andrew Green
The University of Manchester and The Christie Hospital |
13.30 | Life as an NHS Data Scientist
Real data, implementation and working with clinicians. |
Dr Jamie-Leigh Chapman
Wrightington, Wigan and Leigh NHS |
13.50 | Practical Session
Applying some simple ML and data science tools to open source H&N data in small groups- please bring a laptop if you want to run code as we go along. |
Dr Jamie-Leigh Chapman
Dr Emma Stubington |
14.40 | Refreshments and networking | |
15.10 | Managing academic and medical expectations of data science research – A view from industry | Chris Kennelly
Managing Director of Cievert |
15.40 | Integrating data envelopment analysis into radiotherapy treatment planning for H&N cancer patients | Professor Matthias Ehrgott
Lancaster University |
16.05 | Where Next?
Identifying clinical problems: A collection of problems from clinicians. Discussion from participants. Funding, ethics and future research. |
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16.30 | End |