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

Confirmed Speakers

Get to know the speakers

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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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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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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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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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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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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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Insilico Medicine launched aging.AI, a system allowing users to guess their age and gender by entering the results of their blood test. The system is focused on gamification of consumer blood testing and attracting the attention of the general public to the importance of periodic blood tests.

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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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London-based venture capital firm Atomico will double down on investments in US and European startups with two new venture partners. The new hires reflect rising investor interest in startups outside the UK, with France and Spain looking like particular hotspots.

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Researchers from Israel are the latest to show that AI and deep learning could make the drug discovery process more efficient, by getting a computer to learn the “vocabulary” of drug discovery. Shahar Harel who is the system's co-developer shares more.

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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
DeepMind
UCL
samsung
Siemens
Telefonica
babylon health
GTN Ltd
McKinsey & Company
Qualcomm
Sanofi

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:

Hubscience
Mirada medical.001
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Exhibitors & Startups include:

Logikk.001
Pipeline ai.001
Nibec.001
Graphcore.001
3d industries.001
Deepzen.001
Chronomics.001
Healum.001
Gtn ltd.001
Pixoneye.001
Scan computers.001

Media Partners & Press

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