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Turing Workshop on Open-Source AI Software for Healthcare
10am - 4pm at Enigma, The Alan Turing Institute
Overview
Overview
The "Open-Source AI Software for Healthcare" workshop aims to bring together research communities interested in open-source software for healthcare. The objective is to share experiences and discuss recent advances, challenges, and ways forward in open-source AI software for healthcare applications. The programme will include talks from leading researchers/developers of scikit-learn, Binder, JupyterHub, The Turing Way, MONAI, TorchIO, nilearn, ChemicalX, and DeepReg.
Target Audience
Target Audience
Both developers and users from academia and industry in this field.
Key Questions
Key Questions
What are the major bottlenecks of open-source AI software for healthcare?
How do we engage more researchers in open-source AI software development for healthcare?
How will AI standards impact open-source software development in the short/long term?
Speakers (sorted by last name)
Speakers (sorted by last name)
Andres Diaz-Pinto
Andres Diaz-Pinto
Nvidia & King's College London
Sarah Gibson
Sarah Gibson
2i2c/JupyterHub
Yipeng Hu
Yipeng Hu
University College London
Fernando Pérez-García
Fernando Pérez-García
Microsoft Research & University College London
Benedek Rozemberczki
Benedek Rozemberczki
Isomorphic Laboratories
Mihaela van der Schaar
Mihaela van der Schaar
University of Cambridge
Gaël Varoquaux
Gaël Varoquaux
Inria
Registration and contact
Registration and contact
Registration closed.
If you have any questions, please contact: shuo.zhou@sheffield.ac.uk
Venue
Venue
Enigma, The Alan Turing Institute, 96 Euston Road, London NW1 2DB
Enigma, The Alan Turing Institute, 96 Euston Road, London NW1 2DB
During the British Library's opening hours (from 9:00 a.m.) all guests can access The Alan Turing Institute via the library's main entrance on Euston Road.
During the British Library's opening hours (from 9:00 a.m.) all guests can access The Alan Turing Institute via the library's main entrance on Euston Road.
Acknowledgement
Acknowledgement
This event is jointly supported by the Turing Post-Doctoral Enrichment Awards (PDEA) and the Turing Interest Group Meta-Learning for Multimodal Data (welcome to sign up).
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