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  1. Home |
  2. Advancing Health Research |
  3. Our Scientific Priorities

Applied Analytics

We use applied analytics for health data research and innovation to directly improve the NHS and help save lives. Our Applied Analytivs scientific priority aims to match expert knowledge of new analytical tools such as machine learning and artificial intelligence with large-scale health datasets to demonstrate the power of these approaches to inform health and care delivery.

About us

Our challenge

Innovators often find it unnecessarily difficult to access health data, whereas the people who are accessing the data, often don’t have the skills or support to innovate.

In cases where this disconnect has been fixed, the arrangements don’t always stream the benefits back into the NHS as much as they should.

Our approach

We match knowledge of analytical tools such as machine learning and artificial intelligence with large-scale health datasets to show their potential to inform health and care delivery.

We help the right people gain access to the data they need, in a way that protects the data, maintains patient anonymity, and allows innovation.

Watch our Applied Analytics Seminar recordings here

Register for our upcoming Applied Analytics Seminars

 

Find out more

Read our research case studies

Click here

Discover tools via GitHub

Click here

Our projects

Click here

Meet our team

David Robertson
David Robertson Chair of Applied Logic, Vice Principal and Head of College of Science and Engineering
Serena Tricarico Research Manager
Rebecca Lees Research Administrator
Theodoros Arvanitis Chair of e-Health Innovation and Head of Research, Institute of Digital Healthcare
Aiden Doherty
Aiden Doherty Associate Professor
Georgios Gkoutos
Georgios Gkoutos Chair of Clinical Bioinformatics
Thanasis Tsanas
Thanasis Tsanas Chancellor's Fellow in Data Science
Albert Tenesa
Albert Tenesa Professor of Quantitative Genetics
Emanuele Trucco
Julia Schnabel
Steffen Petersen
Grant Mair
Joanna Wardlaw
Matt Keeling Professor
Sinead Langan
Sinead Langan Professor of Clinical Epidemiology
Danny Alexander Professor of Imaging Sciences at UCL and leader of both the POND group and the Microstructure Imaging Group

Visit the Gateway

A common entry point for researchers to discover and request access to UK health datasets for life saving research.

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