Schedule

Friday 9th September 2022

09:00 Welcome and Introduction

09:10 Andrew Bailey, Dave Westhead, Luisa Cutillo (Missing Values in Genomic Data)

09:30 Lewis Howell, Tze Wah, James McLaughlan, James Chandler (AI integrated treatment planning and real-time guidance for ultrasound guided high intensity focused ultrasound (USgHIFU) cancer ablation)

09:50 Benjamin Keel, Aaron Quyn, David Jayne, Sam Relton (The ARCANE study: Assessment of lymph node metastasis in Rectal Cancer pAtients using machiNe lEarning)

10:10 Gerardo Loza, Pietro Valdastri, Bruno Scaglioni (Estimation of Tissue Interaction in Robotic Minimally Invasive Surgery: Fusion of Robotics and Machine Learning for Characterisation of Tissue Interaction)

10:30 Break for coffee

11:00 Victoria Moglia, Lesley Smith, Gordon Cook, Owen Johnson (Use of AI to Improve the Early Detection of Upper GI Cancer using Routine Blood Tests)

11:20 Aron Syverson, Zhiqiang Zhang, David Jayne, Alex Frangi (Development of patient fitness algorithms that predict surgical outcomes and enable efficient resource allocation)

11:40 Morgan Thomas, Lucy Stead, Ali Gooya (Deep learning from primary samples to predict treatment response in glioblastoma: the deadliest adult brain cancer)

12:00 Poster session and buffet lunch

13:00 Oliver Umney, Michelle Peckham, Darren Tomlinson, Phil Quirke, Alistair Curd (Developing AI/machine learning methodology for analysing protein organisation in cells and tissues as a diagnostic tool)

13:20 Zuzanna Wojcik, Galina Velikova, Kate Absolom, Vania Dimitrova (Predictors of adjuvant chemotherapy toxicity and hospital admissions in patients with early breast and colorectal cancer, using quality of life and patient-reported outcome measures)

13:40 Christopher Winder, Gordon Cook, Andrew Scarsbrook, Andy Bulpitt (Development of an artificial intelligence toolkit to extract body composition parameters from imaging and explore their prognostic value for defining frailty in multiple myeloma)

14:00 Christin Puthur, Owen Johnson (Process mining to study the impact of major events on in-hospital care pathways)

14:20 Haya Elayan, Owen Johnson (Multi-layer Attentional Bi-LSTM for Medical Code Prediction)

14:40 Timothy Harrison, Kieran Zucker, Owen Johnson (The application of computational statistics and machine learning in the assessment of the relationship between baseline characteristics including BRCA status and outcomes in breast cancer patients)

15:00 Close


Each presentation will have the format:

  • research presentation (15 mins)

  • open discussion (5 mins)