Big Data in Medicine: Tools, Transformation and Translation – Call for Papers

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Big Data in Medicine: Tools, Transformation and Translation – Call for Papers

4 July 2017

Cambridge

Following the success of the 2015 Big Data in Medicine Conference ‘Big Data in Medicine – Exemplars and Opportunities in Data Science, we are happy to announce a new conference for 2017 Big Data in Medicine – Tools, Transformation and Translation.

The conference will bring together researchers in life science and medicine with mathematicians, statisticians, computer scientists, engineers, and others providing a showcase for cutting edge research and an opportunity for networking across the Cambridge community and beyond.

This year, the Big Data in Medicine Conference will be focusing on: tools and technologies to capture, manage, and process medical, medically-related and health-related Big Data; methods for transforming these data into useable and useful units of information; and the processes for translating Big Data science into useable deliverables to change healthcare. Themes will include:

  • Tools and technologies for Big Data in Medicine – advances in statistics, mathematics, computer science, IT platforms and interdisciplinary data science, which are creating new opportunities to manage and interpret large, complex and varied sources of health data.
  • Applications and opportunities for using big data in transforming medical science through cross-cutting and interdisciplinary work including image analysis, drug discovery, multi-omics and advanced epidemiology
  • Exploring how advances in medical data science are being translated into routine clinical care, providing decision support and opening opportunities for personalised and precision medicine

There will be an invited panel discussion on the regulatory and policy landscape around health data science, addressing barriers, limitations and ethics of big data in medical practice.

We are now inviting submissions for poster and oral contributions across three key themes: tools and technologies to capture, manage, and process medical, medically-related and health-related Big Data; methods for transforming these data into useable and useful units of information; and the processes for translating Big Data science into useable deliverables to change healthcare in clinical settings.

Abstracts accepted from the whole research community, including Industry and Research Groups.

Please visit here to submit your abstract.

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