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Artificial Intelligence in Bioscience Symposium

14 09 2017

The Alan Turing Institute, BenevolentAI, The Francis Crick Institute, The Knowledge Quarter, Wellcome Trust and UCL are inviting you to the second Artificial Intelligence in Bioscience Symposium that will be held at the British Library on the 14 September 2017.

The AI in Bioscience Symposium is an annual one day conference that aims to foster collaboration between experts in AI, technology, academia and the life sciences industry. The Symposium sees respected experts from around the world present on the latest trends, developments, successes, challenges and predictions in the fields of AI and bioscience.

The symposium will focus on initiatives from academia or industry that integrate technology to improve life sciences processes. We will provide a diverse and inspirational programme that will give a perspective on what is being done currently and what could be done in the future.

The programme will be shared later this summer on the symposium’s website, we are glad to already announce the participation of the following speakers:

– Anna Skaya, CEO, Basepaws
– Jose Miguel Lobato, University Lecturer in Machine Learning, University of Cambridge
– Mike Barnes, Director, Centre for Translational Bioinformatics
– Navin Ramachandran, Co-founder Peach Lab, Consultant Radiologist UCLH
– Philippe Sanseau, Head Computational Biology and Stats, GlaxoSmithKline R&D
– Riccardo Sabatini, Research Scientist, Human Longevity Inc.
– Slava Akmaev, Senior Vice President & Chief Analytics Officer, Berg Health
– Winston Hide, Professor of Computational Biology, University of Sheffield

For more details click here or to register click here.

Details

Date:
14 09 2017
Event Category:
Website:
https://www.bioscience.ai/

Venue

The British Library
96 Euston Rd, Kings Cross
London , NW1 2DB United Kingdom
+ Google Map

Details

Date:
14 09 2017
Event Category:
Website:
https://www.bioscience.ai/

Venue

The British Library
96 Euston Rd, Kings Cross
London , NW1 2DB United Kingdom
+ Google Map

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