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

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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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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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Your.MD has developed the world’s first personal health assistant using Artificial Intelligence to digitally empower smartphone users worldwide. Everyone can now take control of their own healthcare thanks to: artificial intelligence, clinically assured NHS medical information, patented search technology and machine learning.

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“The broad goal is to become the emotion layer of the Internet,” says Affectiva co-founder Rana el Kaliouby, a former MIT postdoc who invented the technology. “We believe there’s an opportunity to sit between any human-to-computer, or human-to-human interaction point, capture data, and use it to enrich the user experience.”

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"To understand deep learning in the context of genetic disease, you need to understand shallow learning first. Shallow learning relates mutations to diseases by looking for mutations that commonly occur in patients with a disease. It’s a commonly used method", Brendan Frey, Deep Genomics.

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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

  • 40 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

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View the agenda in 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

Companies Attending

lloopp
SAP
Roche
Bloomblisser
Frontline Ventures
johnson & johnson
Imperial
UCL
ayla networks
contextvision
Accenture
Lumiata
Uni of Camb
Siemens
DeepMind
Omixy

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