Artificial intelligence in cancer research

Artificial intelligence in cancer research

Thursday 26 April 2018

UCL Roberts Building

Artificial intelligence and the data-driven economy is a ‘Grand Challenge’ identified in the Government’s Industrial Strategy white paper and we expect major private and public sector investment decisions to be made in this area. With links to AI companies and a central location in the ‘Knowledge Quarter’, data-intensive research at UCL is already beginning to be transformed by machine-learning approaches.

Through this AI meeting, the UCL Cancer Domain is bringing 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. Potential data sources range from fundamental cell biology data, pre-clinical and patient ‘omics data, cancer diagnostic and digital pathology image data, through to medical records and population risk data.

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Programme:

1.45-2.00pm

Registration

2.00-2.05pm

Welcome from the UCL Cancer Domain

2.05-2.35pm

AI resources and methodologies

Chair: Professor David Hawkes (UCL Department of Medical Physics and Biomedical Engineering)

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)

2.35-3.05pm

Patient data

Chair: Dr Kate Ricketts (Senior Lecturer in Cancer Physics, UCL Division of Surgery and Interventional Science)

Speakers:

• 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'

3.05-3.20pm

Early Career Researcher lightning talks

Chair: Professor Gary Royle (UCL Cancer Domain Co-Chair; UCL Department of Medical Physics and Biomedical Engineering)

Speakers:

• 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'

3.20-3.50pm

Applications for patient data

Chair: Professor Daniel Hochhauser (UCL Cancer Domain Co-Chair; UCL Cancer Institute)

Speakers:

• 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?

3.50-4.20pm

Applications for biological data

Chair: Professor Alison Lloyd (UCL Cancer Domain Co-Chair; MRC Laboratory for Molecular Cell Biology at UCL)

Speakers:

• 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)

4.20-4.50pm

Open Q&A Discussion

Chair: Professor Gary Royle (UCL Cancer Domain Co-Chair; UCL Department of Medical Physics and Biomedical Engineering)

4.50-5.00pm

Closing and way forward

5.00-6.00pm

Networking drinks reception

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Contact

If you have any questions about the event please contact Jessica Grant (jessica.grant@ucl.ac.uk)