Big Data in Medicine: Tools, Transformation and Translation
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.
This multidisciplinary event is jointly organised by the Cambridge Big Data Strategic Research Initiative, Cambridge Infectious Diseases Interdisciplinary Research Centre, the EPSRC Centre for Mathematical Imaging in Healthcare (CMIH), Cantab Capital Institute for the Mathematics of Information, Cambridge Clinical Informatics and supported by the Alan Turing Institute.