Deep Learning in Healthcare Summit

28 - 01 March 2017, London, UK.
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.

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.

Deep Learning in Healthcare Summit is an 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 Should Attend

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

Join the discussion

  • 35 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

eHealthNews.eu readers can benefit from an exclusive discount - get 20% off the ticket price using our unique promo code: EHEALTHNEWS

For further information and to register, please visit:
https://www.re-work.co/events/deep-learning-health-london-2017

About RE•WORK
RE•WORK is an all-female run events organising company that brings together breakthrough technology, cutting-edge science and entrepreneurship shaping the future of business and society. At each event, we showcase the opportunities of exponentially accelerating technologies to positively disrupt industry and society. Leading technologists, entrepreneurs, innovators, and industry leaders come together to share case studies, research and technological innovations to integrate cutting-edge technology and science into our lives.

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