At the end of April, Spinner held its third training event. In response to the current travel restrictions this was held online, over five mornings. The focus of the training was modelling and simulation and involved:
- An introduction to the parsimonious approach to deep learning by Adagos, illustrated with a workshop using their NeurEco neural network package.
- An introduction to reduced order modelling by Ansys, illustrated with a workshop using their Twin Builder.
- Lectures on using finite element models to simulate the spine as an aid for surgery from Marie-Line Pissonier, Hôpital Pitie Salpêtrière, Prof Yohan Payan, CNRS and Prof Damien Lacroix, University of Sheffield.
The lectures were open to staff and students of the Universities of Sheffield and Bologna.
Some comments from the Spinner Fellows:
Ansys workshops were hands on training sessions on software for reduced order modelling. The training material was clear and allowed us to do the training smoothly.
Despite the remote conference, it was very easy to ask questions during the different talks and to interact, so that was a very good point.
Neural-networks can be a great tool to help creating models that accurately predict the evolution of patients, and even to predict how successful a procedure/strategy can be before actual surgery.
The hands-on workshops were very nice to try, the lectures on the application of spine modelling were also very interesting.Spinner Fellows