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

Confirmed Speakers

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BenovolentAI has raised $115 million in new funding, which will be used to expand the platform’s capabilities in finding new drug treatments. Using its algorithm, the company hopes to find new treatments for conditions including motor neurone disease, Parkinson’s, glioblastoma (brain tumours) and sarcopenia, a loss of skeletal mass associated with aging.

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The Governance of AI Program strives to steer the development of artificial intelligence for the common good using research and policy engagement. The Governance of AI Program is based at the University of Oxford’s Future of Humanity Institute, in close collaboration with Yale University.

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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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Loubna was recognised by MIT Technology Review as one of the 35 Innovators Under 35 in Europe in 2017.

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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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Google Fit is an open platform that lets users control their fitness data, developers build smarter apps, and manufacturers focus on creating amazing devices.

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Ahmed and fellow scientists at Philips designed a multi-level deep learning algorithm for the estimation of tumor content and cellularity of prostate cancer using fully convolutional neural networks. The approach provides accurate and consistent results, and is applicable across the whole range of computational pathology problems.

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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

Attendees include:

Accenture
Imperial
GSK
Philips
Papworth Hospital
Google
nhs
ox uni
Mars Petcare
Varian
Royal Holloway
GE Healthcare

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

Confirmed partners include:

Exhibitors & Startups include:

Media Partners & Press

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