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Big Data in Medicine: Tools, Transformation and Translation

When Jul 04, 2017
from 08:30 AM to 06:00 PM
Where Homerton College, Cambridge
Contact Name
Contact Phone 01223747333
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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.

This one-day meeting will take on 4 July 2017 at Homerton College, Cambridge.

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.

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.

 

Registration for this event is now closed.

 

Draft Programme Schedule:

Time Session Presenter Title
08:30 Registration & Arrival Coffee  
09:10 Welcome/Housekeeping Lydia Drumright (Department of Medicine, Cambridge)
09:15 Opening Remarks  

 

 

 

Session  I: Tools & Technologies

Chair: Afzal Chaudhry (CUH CMIO)

 

 

 

 

09:25  

 

Paul Calleja (Cambridge Head of Research Computing)

 

The Cambridge Service for Data Driven Discovery (CSD3): An OpenStack platform for medical analytics and biomedical research

 

 

09:55 Tom Bishop (MRC Epidemiology Unit, Cambridge)

 

InterConnect - tools to take the analysis to the data

 

10:15   Marina Romanchikova (Department of Medical Physics and Clinical Engineering, Cambridge)

 

Automated retrieval of imaging and treatment data for clinical studies and research

 

10:35

 

Mihaela van der Schaar (University of Oxford)

 

Confidently Learning Individualized Treatment Effects from Observational Data

 

 

11:05 Morning Coffee Break and Poster Session
 

 

 

11:35

 

Flash Talks

Chair: Hans Hagen (EBI)

 

Leo Bottolo (Department of Medical Genetics, Cambridge) A fully bayesian approach for the analysis of whole-genome bisulfite sequencing data
Ahmed Ibrahim (University of California) Individualized risk prognosis for critical care patients: a multi-task Gaussian process model
Francesco Iorio (EMBL-EBI, Hinxton) Big Data driven inference of clinically relevant pharmacogenomic interactions in cancer

 

 

Paul Schofield (Department of Physiology, Development and Neuroscience, Cambridge)

Phenotype prioritisation of disease-causing gene variants

 

 

Julie von Ziegenweidt (Department of Haematology, Cambridge)

Cultivating Information for Big Data research
12:10 Lunch and Poster Session
13:10

 

Session II: Transformation

Chair: Rudolf Cardinal (Department of Psychiatry, Cambridge)

13:15  

 

Joan Lasenby (Department of Engineering, Cambridge)

 

 TBC

 

 

13:45 Victor Li (Energy Policy Research Group, Cambridge)

 

Big data technologies to overcome the challenges of data collection with a human in the loop

14:05   Enrico Ferrero (GlaxoSmithKline (GSK))

 

In silico prediction of novel therapeutic targets using gene disease association data

14:25

 

Julian Parkhill (The Sanger Institute, Hinxton)

 

Identifying signatures of recent pathogen emergence

14:55 Afternoon Coffee Break and Poster Session

 

 

 15:30

 

Session III: Translation

Chair: Lydia Drumright (Cambridge)

15:35

 

John Fox (OpenClinical.net)

 

Data science meets knowledge engineering: from black box to intuitive models of care

16:05   Annabel Price (Department of Psychiatry, Cambridge)

 

Using routine clinical data to investigate naturalistic disease patterns, characteristics and survival in dementia

16:25 Goylette Chami (Department of Pathology
Department of Land Economy, Cambridge)

 

Computatioal approaches to community health: symptomatic landscapes and comorbidities in rural Uganda

16:45  

 

John Cromwell (University of Iowa Hospitals & Clinics)

 

Real-Time Predictive Analytics in a Real-World Hospital Setting: Obstacles and Outcomes

17:15 Closing Remarks

 

Patrick Maxwell (Cambridge Institute for Medical Research)

17:30 Close of Meeting
17:30 - 18:30

 

Drinks Reception and Networking

(Combination Room or on Lawn depending on weather)  

 

Sponsorship Opportunities:

There are a few sponsorship opportunities available for this event. If you would be interested in sponsoring certain aspects of this event and would like more information, please leave your contact details here.

 

 

 

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