[Draft, subject to changes]

WEDNESDAY 4TH SEPTEMBER

09:15-09:30Welcome & Opening RemarksCoFo 002
09:30-10:30Tutorial: Deep Generative Neural Networks (Part 1)
Amir Atapour-Abarghouei, University of Durham
CoFo 002
10:30-11:00Break (tea & coffee)Atrium
11:00-12:00Tutorial: Deep Generative Neural Networks (Part 2)
Amir Atapour-Abarghouei, University of Durham
CoFo 002
12:00-13:00LunchAtrium
13:00-14:00Keynote
Jacques Fleuriot, Edinburgh University
CoFo 002
14:00-15:15Best paper candidate sessionCoFo 002
Assessing the significance of longitudinal data in Alzheimer’s Disease forecasting
Batuhan K Karaman (Cornell); Mert Sabuncu (Cornell)
Action Recognition for Privacy-preserving Ambient Assisted Living
Vincent Gbouna Zakka (Aston University); Zhuangzhuang Dai (Aston University); Luis J. Manso (Aston University)
GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction
Suyash Gupta (IIIT Hyderabad); Siddhartha Laghuvarapu (IIIT Hyderabad); Deva Priyakumar (IIIT Hyderabad)
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI
Riti Paul (Arizona State University); Pak Lun Kevin Ding (Arizona State University); Sahil Vora (Arizona State University); Ameet C Patel (Mayo Clinica Arizona); Leland S Hu (Mayo Clinic); Baoxin Li (Arizona State University); Yuxiang Zhou (Mayo Clinc at Arizona)
CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers
Ndipenoch Nchongmaje (Brunel University London)
15:15-15:45Break (tea & coffee)Atrium
15:45-16:45Keynote: AI as the future of memory clinics: hype or happening?
Timothy Rittman, Cambridge University
CoFo 002
16:45-17:15Digital twinning, virtual pathology and oncologyCoFo 002
Weight Perturbations for Simulating Virtual Lesions in a Convolutional Neural Network
Joseph MacInnes (Swansea University); Natalia Zhozhikashvili (HSE University); Matteo Feurra (HSE University)
Using GANs to visualise class-specific features in Digital Histopathology images
Catherine Little (Queen’s University, Belfast); Richard Gault (Queen’s University, Belfast); Stephanie Craig (Queen’s University, Belfast); Jacqueline James (Queen’s University, Belfast)
17:30-19:00ReceptionCoFo Crucible

THURSDAY 5TH SEPTEMBER

09:00-09:15Arrival tea & coffeeAtrium
09:15-10:15Keynote: Frameworks for reliable deployment of AI in medical imaging
Konstantinos Kamnitsas, Oxford University
CoFo 002
10:15-10:45Patient data, privacy and ethicsCoFo 002
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
Georgios Tsoumplekas (Metamind Innovations P.C.); Ilias Siniosoglou (University of Western Macedonia); Vasileios Argyriou (Kingston University London); Ioannis Moscholios (University of Peloponnese); Panagiotis Sarigiannidis (University of Western Macedonia)
Intelligent Multi-Document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports
Georgina Cosma (Loughborough University); Mohit Kumar Singh (Loughborough University ); Patrick Waterson (Loughborough University); Gyuchan Thomas Jun (Loughborough University); Jonathan Back (Health Services Safety Investigations Body (HSSIB))
10:45-11:15Break (tea & coffee)
Poster Session One presenters to set up posters
Atrium
11:15-12:00Personalised Healthcare and MedicineCoFo 002
Augmenting Infrequent Relationships in Clinical Language Models with Graph-Encoded Hierarchical Ontologies
Suraj N Ramchand (Swansea University); Xianghua Xie (Swansea University)
Identifying Clusters on Multiple Long-Term Conditions For Adults with Learning Disabilities
Emeka Abakasanga (Loughborough University); Rania Kousovista (Loughborough University); Georgina Cosma (Loughborough University); Gyuchan Jun (Loughborough University); Reza Kiani (Leicestershire Partnership NHS Trust); Satheesh Gangadharan (Leicestershire Partnership NHS Trust)
Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders
Hok-Shing Lau (University of Wales Trinity Saint David); Mark Huntly (University of Wales Trinity Saint David); Nathan Morgan (University of Wales Trinity Saint David); Adesua Iyenoma (University of Wales Trinity Saint David); Biao Zeng (University of South Wales); Tim Bashford (University of Wales Trinity Saint David)
12:00-13:30Lunch & Poster Session OneAtrium
13:30-15:30Plenary Panel Session: Translating AI Research into Practice
Chair: Iain Styles, Queen’s University Belfast
CoFo 002
Artificial Intelligence and Rare Diseases: Addressing Clinical Needs
Alba Di Pardo, IRCCS Istituto Neurologico Mediterraneo Neuromed, Italy
TITLE: TBA
Noura Al Moubayed, Durham University & Evergreen Life
Generative AI for Pharmaceutical Company: Emerging Opportunities
Haoda Fu, Eli Lilly and Company, USA
Panel Discussion
Chair: Iain Styles, Queen’s University Belfast
15:30-16:00Break (tea & coffee)Atrium
16:00-16:45AI in mental healthCoFo 002
Evaluating the Feasibility and Acceptability of a GPT-based Chatbot for Depression Screening: A Mixed-Methods Study
Zhijun Guo (UCL); Alvina Lai (UCL); Zhouyiyi Deng (UCL); Kezhi Li (UCL)
Structural Brain Network Generation via Brain Denoising Diffusion Probabilistic Model
Hongjie Jiang (Southern University of Science and Technology); Xuhang Chen (University of Macau); Shuqiang Wang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)
Conversation Analysis of Remote Dialogue System for Mental Health Interventions
Shengzhou Yi (The University of Tokyo); Toshiaki Kikuchi (Keio University); Toshihiko Yamasaki (The University of Tokyo)
16:45-17:00Assisted living technologyCoFo 002
Innovations in Mosquito Identification: Integrating Deep Learning with Citizen Science
Mulaedza Mathoho (University of Johannesburg); Dustin T van der Haar (University of Johannesburg); Hima Vadapalli (University of Witwatersrand, University of Johannesburg)
19:00-22:00Conference DinnerGeorge Hall, Brangwyn

FRIDAY 6TH SEPTEMBER

09:00-09:15Arrival tea & coffeeAtrium
09:15-10:15Keynote: Signature-based ML models help sepsis prediction despite the subtle effects of label extraction
Hao Ni, University College London
CoFo 002
10:15-10:45Invited Talk: AI driven robotics for healthcare
CoFo 002
10:45-11:15Break (tea & coffee)
Poster Session Two presenters to set up posters
Atrium
11:15-12:00AI driven robotics for healthcareCoFo 002
Design and operation requirements for an ankle assisting device
Giovanni Mastrangelo (University of Rome Tor Vergata); Marco Ceccarelli (University of Rome Tor Vergata); Matteo Russo (University of Rome Tor Vergata)
Development of a control algorithm for an ankle joint rehabilitation device
Zhetenbayev Nursultan (Almaty University of Power Engineering and Telecommunications); Gani Sergazin (Eurasian National University); Gulzhamal Tursunbayeva (Eurasian National University); Arman Uzbekbayev (RI of «Applied science and technologies» LPP); Batyrkhan Kyrykbayev (Almaty University of Power Engineering and Telecommunications)
Exploration of AI-Enhanced Wearable Devices for Advanced Cardiovascular Monitoring in the Elderly
Daniele Cafolla (Swansea University)
12:00-13:30Lunch & Poster Session TwoAtrium
13:30-14:30Keynote: Development of life support devices by using Inclusive design
Eiichiro Tanaka, Waseda University, Japan
CoFo 002
14:30-15:00AI driven robotics for healthcare
Towards Quantification of Eye Contacts Between Trainee Doctors and Simulated Patients in Consultation Videos
Yash Deshmukh (Keele University); Bappaditya Mandal (Keele University); Peter Yeates (Keele University); Jenni Watson (Keele University)
Promoting Healthy Eating Habits via Intelligent Virtual Assistants, Improving Monitoring by Nutritional Specialists: State of the Art
Jaime Cruz Casados (Universidad Autónoma de Tamaulipas); Miriam Janet Cervantes López (Universidad Autónoma de Tamaulipas); Richard de Jesús Gil Herrera (Universidad Internacional de la Rioja)
15:00-15:30AI-aided medical imaging and analysisCoFo 002
FM-LiteLearn: A Lightweight Brain Tumor Classification Framework Integrating Image Fusion and Multi-Teacher Distillation Strategies
Shengbo Tan (Southwest Minzu University); Cai Ying (Southwest Minzu University); Yang Zhao (La Trobe University); Junjie Hu (Sichuan University); Yuanyuan Chen (Sichuan University); Chenxi He (Southwest Minzu University)
Towards improving single-cell segmentation in heterogeneous configurations of cardiomyocyte networks
Fabio Caraffini (Swansea University); Hassan Eshkiki (Swansea university); Mostafa Mohammadpour (Johannes Kepler University); Nikol Sullo (Swansea University); Christopher George (Swansea University)
15:30-15:45Best Poster Prize & Closing remarksCoFo 002
15:45-16:15Leaving tea and coffee Atrium

POSTER SESSION ONE – THURSDAY

P01Responsible and Ethical AI for Mental Health Contexts: A Focus on Conservative Communities and Annie the Chatbot
Wendy A Booth (University of South Wales); Dr Mabrouka Abuhmida (University of South Wales)
P02Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports
Georgina Cosma (Loughborough University); Mohit Kumar Singh (Loughborough University ); Patrick Waterson (Loughborough University); Gyuchan Thomas Jun (Loughborough University ); Jonathan Back (Health Services Safety Investigations Body (HSSIB)
P03Cluster and Trajectory Analysis of Multiple Long Term Conditions in Adults with Learning Disabilities
Emeka Abakasanga (Loughborough University); Rania Kousovista (Loughborough University); Georgina Cosma (Loughborough University); Gyuchan Jun (Loughborough University); Reza Kiani (Leicestershire Partnership NHS Trust); Satheesh Gangadharan (Leicestershire Partnership NHS Trust)
P04A Deep Learning Framework for Assessing the Risk of Transvenous Lead Extraction Procedures
Fazli Wahid (University of East Anglia); YingLiang Ma (University of East Anglia); Vishal Mehta (School of Imaging Sciences and Biomedical Engineering , King’s College London); Sandra N Howell (KCL); Steven Niederer (King’s College London); C Aldo Rinaldi (School of Imaging Sciences and Biomedical Engineering , King’s College London)
P05Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging
Edouard Chatzopoulos (UCLouvain); Sébastien Jodogne (UCLouvain)
P06Enhancing One-Shot CT Image Segmentation with SAM and CLIP Prompt Learning
Choo Sin Wai (Northwestern Polytechnical University); Zhibin Liao (University of Adelaide); Bo Li (Northwestern Polytechnical University); Lin Yuanbo Wu (Swansea University)
P07Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI
Asmail Muftah (Azzaytuna University; Cardiff University); Sophie Shermer (Swansea University); Frank C Langbein (Cardiff University)
P08Effect of Face Obfuscation Methods on Pose-Based Action Recognition
Muhammad Ahmed Raza (University of Edinburgh); Chris Lochhead (University of Edinburgh); Robert B Fisher (University of Edinburgh)
P09Artificial Intelligence for Predicting Responses to Thyroid Cancer Treatment
Alaa Abd-alrazaq (Weill Cornell Medicine-Qatar); Rawan AlSaad (Weill Cornell Medicine-Qatar); Arfan Ahmed (Weill Cornell Medicine-Qatar); Hania Aslam ( Weill Cornell Medicine-Qatar); Babul Salam (Gulf University for Science & Technology); Sarah Aziz (Weill Cornell Medicine-Qatar); Javaid Sheikh ( Weill Cornell Medicine-Qatar)
P10Generative AI-powered Chronic Kidney Disease Exam Candidates’ Practice Test with Self-Grading
Intissar HADDIYA (Faculty of medicine and pharmacy University Mohammed Premier); Andrea Pitrone (Loop AI Group)
P11Patient Data and Privacy in the Realm of Extended Reality: A Digital Health Perspective
Rahul Sheshan Clare (Manipal Academy of Higher Education); Vani Lakshmi R (Manipal Academy of Higher Education); Sucheta Kolekar (Manipal Institute of Technology, Manipal Academy of Higher Education,); Asha Kamath (Manipal Academy of Higher Education)
P12ZMAM: A ZKP-Based Mutual Authentication Scheme for the IoMT
Chaoyue Lv (Xidian University); Di Lu (Xidian University); Yuanyuan Zhang (Honghui Hospital, Xi’an Jiaotong University); Xindi Ma (Xidian University); Yulong Shen (Xidian University); Liping Wang (Honghui Hospital, Xi’an Jiaotong University); Jianfeng Ma (Xidian University)
P13Demystifying the Ethical Framework for Generative AI in Healthcare: A Data Science Perspective
Vani Lakshmi R (Manipal Academy of Higher Education)*; Rahul Sheshan Clare (Manipal Academy of Higher Education); Asha Kamath (Manipal Academy of Higher Education)
P14Explainable Machine Learning: Predicting Clinical Outcomes in Welsh Emergency Departments
Megan L Morgan (Swansea University); Alma Rahat; Gareth Jenkins (NHS – Hywel Dda University Health Board); Jiaxiang Zhang (Swansea University)
P15Synthetic Patient Perspective Data for the Curation and Evaluation of Rare Disease Patient-Facing Technology
Emily E Nielsen (Swansea University); Tom Owen (Swansea University); Matt Roach (Swansea University); Alan Dix (Swansea University and Cardiff Metropolitan University)
P16Applying Deep Learning based Super-Resolution to Knee Imaging
Álvaro Rey-Blanes (University of Malaga); Enrique Dominguez (University of Malaga)
Plus Late-breaking Abstracts.

POSTER SESSION TWO – FRIDAY

P01Deep Relative Learning for Prediction of Preclinical Alzheimer’s Disease
Nupur Thakur (Arizona State University); Riti Paul (Arizona State University); Baoxin Li (Arizona State University); Oana Dumitrascu (Mayo Clinic); Yuxiang Zhou (Mayo Clinic at Arizona)
P02Bacterial Behaviour Analysis through Image Segmentation using Deep Learning Approaches
Afroza Rahman (University of East London); Khondaker Miraz Rahman (King’s College London); Md Atiqur Rahman Ahad (University of East London)
P03Word or Phoneme? To Optimise Prosodic Features to Predict Lung Function with Helicopter Task
Biao Zeng (University of South Wales); Hok-Shing Lau (University of Wales Trinity Saint David); Mark Huntly (University of Wales Trinity Saint David); Tim Bashford (University of Wales Trinity Saint David); Nathan Morgan (University of Wales Trinity Saint David); Chelsea Owen (University of South Wales); Lauren Game (University of South Wales)
P04Electrical Impedance Spectroscopy based Preterm Birth Prediction with Machine Learning
Mengxiao Wang (the University of Sheffield); Ziqiang Lang (University of Sheffield)
P05Transfer Learning in Hypoglycemia Classification
Beyza Cinar (Helmut-Schmidt-Universität – Universität der Bundeswehr Hamburg); Florian Grensing (Helmut-Schmidt-Universität – Universität der Bundeswehr Hamburg); Louisa van den Boom (Children’s Hospital, University of Bonn, Bonn, Germany); Maria Maleshkova (Helmut-Schmidt-Universität – Universität der Bundeswehr Hamburg)
P06A Comparative Analysis of Eleven Augmentation Techniques for Enhanced Retinal Pathology Recognition
Mahdi Hadef (EMP)*; Said Yacine Boulahia (école militaire polytechnique); abdenour amamra (EMP)
P07Multi-Stage Chronic Kidney Disease Classification on Longitudinal Data
Ali Guran (Swansea University); Gary Tam (Swansea University); James Chess ( Wales Kidney Research Unit and Morriston Hospital); Xianghua Xie (Swansea University)
P08Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction
Fergus H Pick (Swansea University); Xianghua Xie (Swansea University); Lin Yuanbo Wu (Swansea University)
P09Machine and deep learning approaches for monitoring predictive in healthcare
Mauro Mazzei (CNR, Italian National Research Council)
P10Laboratory experiences with an intelligent robotic crank for arm exercises
Susana Sanz (University Carlos III of Madrid,)*; Vicente Díaz (University Carlos III of Madrid); Marco Ceccarelli (University of Rome Tor Vergata); Matteo Russo (University of Rome Tor Vergata)
P11ADALINE neurons used for targeting performance on the Deep Brain Stimulation platform
Karla N Silva Garces (Instituto Politecnico Nacional); Fiacro Jimenez-Ponce (Hospital General de México); Christopher René rené Torres SanMiguel (Instituto Politécnico Nacional)
P12DELRecon: Depth Electrode Reconstruction Toolbox for Stereo-EEG
Shameer Aslam (Swansea University); Qi Chen (South China Normal University); Jiaxiang Zhang (Swansea University)
P13Segmenting breast ultrasound scans using a generative adversarial network embedding U-Net
Aboozar Taherkhani (De Montfort University); Fabio Caraffini (Swansea University); Hassan Eshkiki (Swansea university)
P14Enhancing Predictive Accuracy in Embryo Implantation: The Bonna Algorithm and Its Clinical Implications
David H Silver (Rhea Labs); Daniel Fordham (Rhea Labs); Gilad Rave (Rhea Labs); Alex Bronstein (Technion)
P15TBA
TBA
Plus Late-breaking Abstracts.