Multi-scale and Multi-modality Digital Health Collaboration Workshop
Join us for a one-day event sponsored by The Alan Turing Institute to encourage interdisciplinary collaboration in digital health:
Date and Time
Tuesday 18 July 2023, 9:30 - 18:00 BST
Clark Kennedy Lecture Theatre, Queen Mary BioEnterprises Innovation Centre, 42 New Rd, London E1 2AX
|09:45||Welcome Breakfast & Registration|
Speakers Topic 1: Physics based-models and machine learning
Chair: Caroline Roney
Yi Sui (QMUL): Real-time mechanical characterisation of microcapsules and biological cells
Gary Zhang (UCL): Model-based quantitative MRI meets machine learning
Marta Varela (ICL): Physics-Informed Neural Networks: Marrying Maths and Data for Personalised Healthcare
Chris Harbron (Roche): Turing-Roche Strategic Partnership: A Multi-Scale, Multi-Modal, Multiple Topics, Multi-Organisation Partnership
Speakers Topic 2: Different data modalities: from cellular basic science to organ-scale clinical
Chair: Giorgia Bosi
Steve Niederer (ICL): Cardiac Digital Twins
Sophia Bano (UCL): Surgical AI for Next Generation Interventions
Mine Orlu (UCL): Machine learning for formulating next generation of therapeutics
Manish Patel (Jiva.ai): Multimodal AI solutions in healthcare and bridging the gaps in scale
Speaker Topic 3: Digital health in practice
Chair: Greg Slabaugh
Aldo Faisal (ICL): Behavioural Transcriptomics
Karla Sanchez (Cambridge Design Partnership): Digital Health Adoption: An Industry Perspective
Pat Healey (QMUL): Social Health
Patrik Bachtiger (ICL): Towards a Tricorder
Sandpit Session: (email: email@example.com to pitch!)
Chair: Guang Yang
Jiahao Huang (ICL): Deep Learning-based MRI Reconstruction.
Lei Li (Oxford): Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Julia Camps (Oxford): Digital twin generation
Xiaodan Xing (ICL): How to evaluate the quality of synthetic images effectively
Jenny Wang (Oxford): In silico trials in ventricles
Albert Dasi (Oxford): Atrial in silico trials
Alexander Zolotarev (QMUL): Atrial Fibrosis Distribution Generation based on the Diffusion Model
Youssef Abdalla (UCL): Predicting 3D printability using Machine Learning
Career session: Digital health and AI opportunities
|17:00||Refreshments and Networking|
About this event
This one-date workshop is funded by The Alan Turing Institute and jointly hosted by Queen Mary University London, UCL, and Imperial College London.
The event will take place on the Whitechapel Campus at Queen Mary University London: Clark Kennedy Lecture Theatre, QMUL Innovation Building
The workshop will be composed of talks, a sandpit event, and a careers focused panel discussion, with further details noted in the agenda , above.
The objective is to bring together researchers from academia and industry working with different data modalities and spatio-temporal scales, in different environments including basic science, clinical, engineering, and digital health industry. We hope to initiate new collaborations, exchange ideas and research techniques.
Digital health is a rapidly growing field. To personalize treatment approaches through digital health, we need to utilize all available data to provide mechanistic understanding and inform therapies at the patient-specific and population level. These data are collected using different modalities, at widely different spatio-temporal scales, creating large challenges and opportunities in Digital Health. This event aims to bring together researchers working with data across different scales and modalities, from basic scientists and clinicians, through to industry, using different types of computational techniques, from physics-based models to machine learning and digital health in industry. We will motivate exciting areas of development through a series of talks and posters, and then have sandpit sessions with a series of short pitches, with the aim of initiating new collaborations.
Support towards the costs associated with attending the event (i.e. travel, accommodation, childcare) can be applied for. Priority for support will be given to our speakers, early career researchers and PhD students, and those who are geographically located outside of London.
This event has been organised in association with the Digital Environment Research Institute (DERI) at Queen Mary University London.