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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.

16.30 End