Workshop: AI, Data, and Modelling for Life and Health Sciences
Workshop: AI, Data, and Modelling for Life and Health Sciences
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The convergence of artificial intelligence, computational modelling, and life sciences is influencing the trajectory of modern healthcare. Working with the Leicester’s Institute for Precision Health, this workshop will present collaborative life and health sciences research done in the School of Computing and Mathematical Sciences along with a guided discussion session aiming to understand where collaborations could be fostered. We want to bring together clinicians, data scientists, computer scientists, and mathematicians to foster interdisciplinary exchange leading to translational projects.
Agenda:
9:30 |
TEA AND COFFEE |
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9:45 |
Introduction to the workshop. |
Rob Free |
9:50 |
An analysis of diabetes mortality risk |
Bogdan Grechuk |
10:05 |
Computational tools for improving the design of MRI scanners |
Paul Ledger |
10:20 |
Fundus 3D Reconstruction via AI-driven Photometric Stereo |
Yakun Ju |
10:35 |
Designing with Care: Human-Centred AI for Better Healthcare Experiences |
Genovefa Kefalidou |
11:50 |
TEA AND COFFEE |
|
11:00 |
Using Semi-Supervised Graph Convolutional Neural Networks to improve prognosis prediction in Heart Failure patients |
Rabia Saleem |
11:15 |
TBC |
Daniel Hao |
11:30 |
Simple explanations of complex models and data |
Massimo Cavallaro |
11:45 |
Scalable Tensor Algorithms for Imaging and Data Analytics |
Behnam Hashemi |
12:00 |
Guided discussion. An open session to spark dialogue between clinicians and technologists. Guiding Questions:
|
Rob Free/Massimo Cavallaro |
13:00 |
LUNCH |
|
14:00 |
SESSION CLOSE |
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Location
Sir Bob Burgess Building 1.03, LE2 7TF