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Global Challenges Initiative

The Cambridge Strategic Research Initiative for the Sustainable Development Goals (SDGs)

Studying at Cambridge

 

AI for better patient outcomes

This new conference will bring you the latest inspiring NHS, academic and industry collaborations in Artificial Intelligence (AI) in healthcare.
When Oct 18, 2017
from 09:00 AM to 06:00 PM
Where Microsoft Research Lab, Cambridge, UK
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Institute of Engineering and TechnologyMicrosoftArtificial intelligence (AI), deep learning and machine learning all serve to interpret big data for an end goal. In healthcare, better patient outcomes are the great incentive. 

With rapid advances in imaging, monitoring technologies, genome sequencing, etc., the amount of health information being gathered is overwhelming. Being able to translate it quickly and accurately is vital for predicting the pattern of disease and identifying suitable treatment options for patients. 

This exciting conference is essential for clinicians, academics and others already working in healthcare, but also engineers looking to apply their expertise from other industries to this rapidly advancing sector.

You will be inspired by the studies already underway, and their potential to transform healthcare in the very near future. Meet new contacts and find out where you may be able to make a valuable contribution yourself. 

Sessions include:

  • Medical imaging
  • Predicting health outcomes for smarter healthcare systems
  • Ethics of information and data analytics
  • What AI and machine learning can do for lung cancer care
  • Machine learning for the next generation of healthcare interventions
  • Cancer image analytics
  • Data security and cyber risk

Speakers include:

  • Dr Kenji Takeda Director, Azure for Research, Microsoft
  • Dr Natalie Banner Policy Adviser, Wellcome Trust
  • Dr Raj Jena Scientific Officer, Cambridge University Hospitals NHS Foundation Trust       
  • Niels Peek Director, Greater Manchester Connected Health City and University of Manchester
  • Dr Timor Kadir Chief Scientist and Technology Officer, Optellum
  • Professor Nasir Rajpoot Head, Tissue Image Analytics Lab, University of Warwick  
  • Dr. Tingting Zhu Junior Research Fellow, Computational Health Informatics (CHI) Laboratory, University of Oxford

 

Strategic Partner: Microsoft

Please read more and apply here.

The Global Challenges Initiative is a Strategic Research Initiative of the University of Cambridge that aims to enhance the contribution of its research towards addressing global challenges and achieving the Sustainable Development Goals (SDGs) by 2030.

SDGs

Find out about open funding opportunities, pre-call announcements, responsive calls, studentships and awards relevant to the global challenges agenda.

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