STFC Cancer Diagnosis Network+ Challenge Workshop 2: Early Diagnosis (Nov 2020)
Our first virtual session, took place on Tuesday 17th November 2020. It was a half day session that included high profile speakers, question and answer session, a facilitated breakout, an opportunity to engage with key industrial exhibitors and funding announcement.
A bio of each speaker can be found here. Presentations from our speakers can be viewed via the links below:
Workshop Chair - Prof Nandita de Souza, Welcome and introduction to the event
Workshop Co-Chair - Prof John Lees, Panel Question and Answer session
Speaker 1 - Dr Linda Mahon Daly, GP, Colchester
Speaker 2 - Prof John Field, University of Liverpool
Speaker 3 - Ms Clare Schilling, University College Hospital, London
‘Challenges in the diagnosis and treatment of head and neck cancer’
Workshop 1 - STFC Cancer Diagnosis Network+ Challenge: Precision and Quantitative Imaging (Jan 2020)
Our first Challenge Workshop took place on Monday 20th January 2020, at College Court Conference Centre, Knighton Road, Leicester, LE2 3UF.
A full schedule of the day can be found here. The event focusd on cross collaboration to find new ways to tackle cancer diagnosis via precision and quantitative imaging. There were also opportunities to network during the day via facilitated breakout sessions. We received a lot of positive and constructive feedback from the event, which has been collated and can be viewed here. We are listening to our members and will be acting upon the feedback gathered to make future events even better.
Facilitated networking sessions took place during the day. Output notes created by the groups have been collated here.
We were delighted to feature expert lectures from the following esteemed speakers:
Workshop Chair - Dr Dimitra Darambara, Welcome and introduction to the event
Dimitra is Senior Team Leader in Multimodality Molecular Imaging at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust. She leads the development of novel imaging techniques and instrumentation to identify, visualise and quantify molecular and cellular characteristics of cancer. She has established a translational research laboratory focusing on quantitative molecular imaging, including photon-counting multi-spectral X-ray imaging. She collaborates with detector and healthcare industries and has secured >£3M funding. She is a RAE Biomedical Engineering Panel member, elected member of the IEEE Nuclear and Medical Sciences Council, immediate past Chair of the IOP Medical Physics Group and will Chair the 2019 IEEE Medical Imaging Conference (MIC). Dimitra has recently been awarded the 'Phillips Award 2019', by the Institute of Physics (IOP) for her significant contributions to the IOP through a number of special interest groups and championing the medical physics discipline.
Speaker 1 - Dr Malene Fischer, King's College London, 'Cancer diagnosis using precision and quantitative imaging'
Dr Malene Fischer is a Senior Clinical Lecturer in PET (Positron Emission Tomography) imaging and Consultant in Nuclear Medicine within King’s College London. She specialises in clinical physiology and nuclear medicine, undertaking research in PET/CT and oncology since 2001, particularly in lung cancer diagnosis and staging. Both her clinical and research work aims to improve functional imaging for precision medicine in both the diagnosis and treatment of patients with cancer, including the use of hybrid imaging technologies such as PET/CT, PET/MR and SPECT/CT.
Speaker 2 - Prof Nigel Allinson, MBE, University of Lincoln, 'Proton CT in Proton Beam Therapy: Getting New Technology into the Clinic'
Prof Allinson holds the Distinguished Chair of Image Engineering at the University of Lincoln, with a research portfolio that includes imaging devices/systems, computer vision and machine learning. He has received several high profile honours for his work, including an MBE for Services to Engineering (2012). He is a Fellow of the Institution of Engineering and Technology and has received their J J Thomson Medal for Electronics (2018), Innovation Prizes for Electronics (2012) and Model-based Engineering Prize (2014) . He has a successful track record in taking technologies through to market and has co-founded a number of start-up companies including “ Image Sensor Design and Innovation Ltd, which provides custom imaging systems through design of novel CMOS imaging devices. He has attracted significant research funding from sources including EPSRC and the Wellcome Trust and has published over 350 scientific papers/patents.
Speaker 3 - Dr Calum Williams, University of Cambridge, 'Development of multispectral image sensors for early-stage cancer diagnosis'
Dr Calum Williams is a researcher in the Department of Physics at the University of Cambridge. In collaboration with Dr. Sarah Bohndiek, his multidisciplinary research applies concepts in nanophotonics to the illumination and detection sides of imaging, in order to unify different modalities in a single device. This has a great potential to change the way cancers are imaged using light, leading to better diagnostic accuracy and patient outcomes. Calum obtained a BSc (Hons) in Physics from Cardiff University (2011), an MPhil (Dist.) in Micro & Nanotechnology at the University of Cambridge (2012), and in 2013 joined the Photonic Systems Development Centre for Doctoral Training at the University of Cambridge. He completed his Ph.D. (Engineering) in 2017, with doctoral research in plasmonic nanostructures for enhanced optical devices. He became a Junior Research Fellow at Wolfson College in 2018 and a Wellcome Trust Junior Interdisciplinary Fellow in 2019.
Speaker 4 - Prof Phil Allport, University of Birmingham,
Professor Phil Allport leads the Birmingham Instrumentation Laboratory for Particle physics and Applications (BILPA). He is an expert on radiation-hard detectors for use at hadron colliders and has pioneered the use of p-type substrate sensors for these environments. Phil was the Upgrade Coordinator of the LHC ATLAS experiment from 2011-2015, during which time he had responsibility for defining the 20 year planning for the experiment. He continues to serve as a member of the ATLAS Executive Board and is a leading international advocate of the High-Luminosity LHC (LHC Upgrade programme). Phil holds several STFC and EPSRC grants employing HL-LHC detector technology developed with UK industry for medical applications and is a founder member of the Proton Radiotherapy Verification and Dosimetry Application (PRaVDA) consortium. He is a core member of the STFC Global Challenge Network+ in Advanced Radiotherapy.
Launch Event - STFC Cancer Diagnosis Network+ (Sept 2019)
The launch event took place at the University of Liverpool, 9th September 2019. The following talks were given and can be found here:
Welcome and introduction to the network, Dr Laura Harkness-Brennan, University of Liverpool
Overview of challenge themes
Multimodal techniques, Prof Paul Marsden, Director of PET medical physics at King's College London and Guy’s and St Thomas’ PET centre
Precision and quantitative imaging, Dr Ramona Woitek, Senior Research Associate at the University of Cambridge Department of Radiology
Early Diagnosis, Prof Nandita deSouza, Lead academic radiologist at the Institute of Cancer Research and the Royal Marsden Hospital
Application of data science techniques to cancer diagnosis, Dr Mathieu Hatt, French National Institute of Health and Medical Research
Overview of STFC capabilities
STFC capabilities for cancer diagnosis, Dr Andrew Boston, Reader in Nuclear Physics at the University of Liverpool
Applying an astrophysics modelling tool to improve diagnosis and treatment of cancers, Prof Tim Harries, Head of Physics and Astronomy at the University of Exeter
From X-ray astronomy to nuclear medicine, Dr Sarah Bugby, STFC Innovation Fellow at the University of Leicester
Quantum Entanglement PET, Prof Daniel Watts, Chair in Hadron and Nuclear Physics at the University of York
Computational analysis of imaging and genomic data for cancer diagnosis, Dr Martyn Winn, Group Leader for Computational Biology at STFC Scientific Computing
Bench to Bedside, Dr Marlies Goorden, Delft University of Technology