THIS SUMMIT IS CO-LOCATED WITH THE DEEP LEARNING SUMMIT

Discover the deep learning tools & techniques set to revolutionise healthcare applications, medicine & diagnostics.

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Confirmed Speakers

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Graeme Rimmer

Engineering Manager

Google

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David Clifton

Associate Professor of Engineering Science

University of Oxford

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Yinyin Yuan

Team Leader

The Institute of Cancer Research

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Ahmed Serag

Research Scientist

Philips

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Finn Catling

Anaesthetic and Critical Care Doctor, Machine Learning Researcher

Decode Healthcare

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Ben Glocker

Lecturer, Medical Image Computing

Imperial College London

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Mahiben Maruthappu

Co-founder

Cera

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Scientists have developed a new test that can pick out women at high risk of relapsing from breast cancer within 10 years of diagnosis. Their study looked for immune cell ‘hotspots’ in and around tumours, and found that women who had a high number of hotspots were more likely to relapse than those with lower numbers. The new test could help more accurately assess the risk of cancer returning.

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AI technology that is capable of analysing and interpreting medical scans with super-human performance will be the focus of ERC funded research carried out by Dr Ben Glocker, from the Department of Computing. Dr Glocker and his team aim to develop AI technology based on machine learning that can sift through the mountain of data to provide detailed insights into complex diseases.

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Last year Cera was identified as one of 50 of the freshest and most inspiring digital companies using technology and innovation to shake up their sectors in City A.M.'s Digital Innovators Power List. Following a public vote and after careful consideration by supporting partners and judges, it was named as one of the top 10 Digital Innovators.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector. Learn from the experts in speech & text recognition, neural networks, image classification and machine learning.

Tech

Discover Emerging Trends & Best Practices

The summit will showcase the opportunities of advancing methods in deep learning and their impact across healthcare & medicine. Discover the deep learning tools & techniques set to revolutionise healthcare applications, medicine & diagnostics from a global line-up of experts.

Network

Expand Your Network

A unique opportunity to interact with industry leaders, data scientists, founders, CTOs and healthcare professionals leading the deep learning revolution. Learn from & connect with 200+ innovators sharing best practices to advance the deep learning in healthcare revolution.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Healthcare Professionals
  • Founders
  • Investors
  • CTOs
  • Director of Engineering
Speechbubbles

Join the discussion

  • 30 speakers
  • 200+ leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

Topics we cover

Machine Learning
Machine Learning
Personalised Medicine
Personalised Medicine
Diagnostics
Diagnostics
Clinical Patient Care
Clinical Patient Care
Pattern Recognition
Pattern Recognition
Image Retrieval
Image Retrieval
MedTech
MedTech
Speech Recognition
Speech Recognition
Neural Networks
Neural Networks
Robotics
Robotics
Genomics
Genomics
Deep Learning Algorithms
Deep Learning Algorithms

Previous attendees include

Accenture
Imperial
Bloomblisser
GSK
babylon health
philips
Toshiba Medical
Papworth Hospital
Google
nhs
astrazeneca
DeepMind
Goldsmiths
BioBeats
Stratified Medical
GE Healthcare
Berg Health
Foundation Medicine

Register

For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

Previous partners include:

Previous exhibitors include:

Media Partners & Press

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