Skip to main content Skip to navigation

Data science & AI for health

Introduction

AI and data science have the potential to significantly enhance healthcare efficiencies by streamlining processes, improving decision-making, and optimising resources.

AI is already being used to enable faster and more effective diagnosis for some diseases, reduce the number of missed NHS appointments, cut down waiting lists for patients, and free up time for NHS staff. These improved efficiencies will mean UK patients can benefit from safe access to medical products much earlier than would have been previously possible, whilst specialist expertise can be focused on other priorities, such as innovation and patient engagement.

AI and digital technologies are leading the way to a faster, simpler, and fairer healthcare system.

Our work

We’re harnessing the power of data science to address critical challenges in modern healthcare.

From providing the UK government with predictions and analysis during the pandemic, to using AI technology to revolutionise cancer diagnosis and treatment, our teams are helping to prove that AI and data science can help make a real-world impact in the face of society's global challenges.

Data science & AI case studies

A covid-19 test in a laboratory environment

Covid-19 modelling for UK Government

Researchers from Warwick’s Zeeman Institute worked closely with UK Government during the Covid-19 pandemic, providing predictions and recommendations based on mathematic modelling.
Researchers at The University of Warwick

Helping diagnose and treat cancer with AI

The PathLAKE Centre collaborates with partners in the NHS and industry to lead the way in using AI for pathology. The cutting-edge AI technology will be used to help diagnose cancer more efficiently and recommend treatments.

Find out More

From cancer diagnosis to predicting international conflict, learn more about how researchers at Warwick are harnessing the power of data to create a better world.