Further information
Hub summaries in alphabetical order by research organisation
AI and Emerging Technologies for Next Generation Brain Health Clinics (BRAINIAC) hub
Led by: Professor David Llewellyn, University of Exeter.
Partners include:
- Dementia UK
- Alzheimer’s Society
- National Institute for Health and Care Research HealthTech Research Centre
New blood tests, brain scans and digital tools can now detect early signs of dementia disease years before symptoms appear, but the NHS has no reliable way to combine them.
BRAINIAC will create the UK’s first network of NHS brain health clinics.
Ten sites across the UK will test AI that brings this information together into one clear picture of a person’s brain health, with more than 1,700 patients, so it is ready for everyday NHS use.
The aim is to reduce the risk of dementia and speed up diagnosis by 50% faster, so people get support when it makes the biggest difference.
Brain Research for Adaptive Traumatic Injury: Simulation, Assessment, Forecasting & Education (BRAIN-SAFE) hub
Led by: Professor David Sharp, Imperial College London.
Partners include:
- Royal Air Force
- Rugby Football league
- World Rugby
- Premiership Women’s Rugby
- GB Boxing
- Jaguar Landrover
Traumatic brain injury is the leading cause of death and disability in under-40s.
Yet there is still no reliable way to determine how dangerous a head impact is or when repeated blows become harmful.
BRAIN-SAFE is bringing together engineers, AI experts and clinicians to develop computer models that can predict an individual’s risk of brain injury following a head impact.
It will take into account factors such as age, sex and previous injuries.
The technology could enable:
- real-time pitch side alerts for potentially dangerous impacts in sports
- car and smartphone crash data that alerts paramedics to likely brain injury
- safer helmets, improved vehicle safety ratings and better military protection
EPSRC HeartTech Hub: Engineering the Future of Personalised Cardiovascular Care
Led by: Professor Sebastien Ourselin, King’s College London.
Partners include:
- Siemens Healthineers
- GE Healthcare
- Google Health UK
- Garmin
- Canon
- Heartfelt Technologies Ltd
- Cardiology Devices Ltd
- Medtronic
Cardiovascular disease affects more than 7 million people in the UK and causes a quarter of all deaths.
Current care relies on costly, hospital-based specialist equipment, making it harder for people in some areas to get the support they need.
The HeartTech hub will combine data from wearable devices, advanced imaging and health records to identify people at risk earlier and deliver personalised support to prevent disease.
The team will develop new tools to help people monitor and manage their heart health in their local community and from home.
This includes an AI-powered wellbeing coach that could provide personalised prompts towards lifestyle adjustments and flag when to see a clinical professional.
£1 million of funding has been provided by the UKRI Life Science Programme.
Community Respiratory Infection Screening and Prognostics (CRISP) Hub
Led by: Associate Professor Alexander Edwards, University of Southampton.
Partners include:
- Nokia
- Samsung
- Department of Health and Social Care
- South Central Ambulance Service
- Community Pharmacy Hampshire
Acute respiratory infections, including flu, COVID-19 and chest infections, place huge pressure on the NHS every winter with around 25 million GP consultations and 850,000 hospital admissions a year in England.
It can be difficult for people to know when to recover at home and when to seek medical help.
For doctors assessing patients, it’s also challenging to tell who will recover without treatment and who is at risk of becoming seriously ill.
CRISP will develop wearable sensors, smartphone apps that analyse coughs and breathing, and rapid tests for home and community healthcare use.
AI will combine this data to predict how an illness is likely to develop.
This means people could safely monitor infection at home and get clear, personalised guidance on whether to rest or contact a pharmacist or GP.
The NHS will also be able to make better treatment decisions.
The Northern Ophthalmic Research and Innovation (NORI) hub
Led by: Professor Matthew Campbell, University of Sunderland.
Partners include:
- South Tyneside and Sunderland NHS Foundation Trust
- Sunderland City Council
- Moorfields Eye Hospital
- TopCon Healthcare
People in the North East and North Cumbria face the worst health outcomes in England, with life expectancy up to 10 years shorter in some areas.
The tiny blood vessels and nerve tissue at the back of the eye can reveal important clues about a person’s wider health, often before symptoms appear.
NORI will use AI to analyse routine eye scans alongside NHS health records and community data, identifying subtle changes in retinal images that may signal early signs of disease.
This will help doctors identify which patients need further investigation, close monitoring and earlier preventative treatment.
NORI will initially focus on diabetes and cardiovascular disease.
The approach could later be expanded to conditions like stroke, heart disease and dementia, providing a blueprint for earlier diagnosis across the NHS.