Applied Analytics

Ongoing projects

Using artificial intelligence methods to support doctors to provide better care for COVID-1...

The DECOVID project will apply cutting-edge data science and artificial intelligence, to understand COVID-19 in detail across the UK, and create new ways to support doctors caring for the most...

Applied Analytics cardiovascular COVID-19 infection PIONEER

National Implementation Project

National Reproducible Machine Learning Project – supporting trustworthy clinical insi...

This is an exciting programme of research that brings together data science, with machine learning, health data from wearables, such as ‘fitbit-like’ devices, and the important quality of...

Applied Analytics

The challenge: accessing data

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: data innovation

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.

Get involved

Leadership team

Professor David Robertson Chair of Applied Logic, Vice Principal and Head of College of Science and Engineering

See the full list of researchers working on this priority across our 31 locations.

Watch our October Applied Analytics Seminar:

COVID-19: Share your knowledge and expertise

Find out how you can contribute your knowledge to the response to the COVID-19 pandemic.

Find out more