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On Thursday 26 April 2018, 120 researchers from across UCL were brought together for the first event from the UCL Cancer Domain - Artificial Intelligence in Cancer Research.
The event brought the community together to identify innovative uses of AI and advanced analytic methodologies, and consider societal, medical and ethical implications, as well as discuss opportunities and challenges around data access.
For those who weren't able to make the event, a selection of the PowerPoint presentations have been published below, and you can view the Twitter 'moment' for a selection of tweets to give you a flavour of the afternoon!
Speakers:
- Dr Arturo González-Izquierdo (Senior Researcher in Electronic Health Records, UCL Institute of Health Informatics) - 'Use of large scale electronic health records in cancer research'
- Dr Danail Stoyanov (UCL Department of Computer Science)
- Professor Allan Hackshaw (UCL Cancer Institute) - 'Using data from cancer clinical trials'
- Dr Jamie McClelland (Lecturer, Centre for Medical Image Computing, UCL Department of Medical Physics and Biomedical Engineering) - 'The Data Analytics for RadioTherapy (DART) platform'
- Natalie Holroyd (PhD student, Centre for Advanced Biomedical Imaging, UCL Division of Medicine) - 'High Resolution Episcopic Microscopy as a tool for probing the tumour microenvironment'
- Dr Guotai Wang (Research Associate, Medical Physics and Biomedical Engineering, UCL Centre for Medical Imaging Computing) - 'Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks'
- Dr Mae Woods (Research Associate, Research Department of Cell and Developmental Biology, UCL Division of Biosciences) - 'Large structural variation and the maximum threshold in cancer'
- Jeff Newell (Director of Applied Research for Varian Oncology Systems) - 'AI for Oncology at Varian'
- Dr Simon Walker-Samuel (Centre for Advanced Biomedical Imaging, UCL Division of Medicine) - 'What can't we do with machine learning in biomedical imaging?'
- Dr Maria Secrier (Lecturer in Computational Cancer Biology, UCL Department of Genetics, Evolution and Environment) - 'Learning cancer development trajectories and tumour microenvironment impact from genomic data'
- Professor Marnix Jansen (UCL Cancer Institute)