The University of Southampton


From sensors to user-applications, we work on the theoretical and practical ways to improve treatment and change individuals behaviours for better health.


We build new sensors, fabrics and research algorithms to detect diseases and facilitate treatment.


From tools to help communication, community involvement and personal wellness to providing better treatment monitoring out of the hospital, we develop sophisticated algorithms, sensors and applications to encourage wellness outside of the hospital.


We work to develop new theoretical and practical Artificial Intelligence solutions to deal with complex health data and improve diagnostic results.

Optimizing Treatment and Behaviours


Delivering a personalised wearable device for home-based stroke upper limb rehabilitation.

Global Symbols

Helping individuals with speech, language and literacy difficulties communicate.

Health Data Sharing

Enabling personalized statements of data access, when resources are owned by set of people and they all have different preferences regarding how the resources should be accessed.

Provenance and Anonymization

Understanding data environments to automatically apply appropriate anonymization to protect individual's privacy.

Covid Epidemic and Hospital Impact Modelling

COVID epidemic model for UHS to forecast the impact of COVID on hospital beds, this was at time of great uncertainty when such models did not exist and provided this on a daily basis the UHS operations over the first wave.

Novel Medical Devices and Systems

Micro-Technologies enable remote medical diagnosis

World-leading research at the University of Southampton is developing portable eletronic devices that can assist in the diagnosis and treatment of patients with chronic conditions in their own homes.


A Sensor Platform for Healthcare in a Residential Environment. Integration of sensors into the home to solve real healthcare problems in a cost-effective way.

Fighting Hospital Super-bugs

Device to help fight antimicrobial resistance working alongside partners from Public Health England and Sharp.

Vivoplex LLC

Creation of a wireless, batterry-free sensor that monitors three influential factors in the uterine environment-pH, temperature and oxygen level-for the optimisation of fertility treatment and uterine health


An automated remote rehabilitation system that blends advances of ICT and practical clinical knowledge that empowers the patients and their immediate carer for effective application of the rehabilitation protocol in home settings.


The capaciflector is a device that can be placed on the body (typically the chest), either directly attached or on the outside of clothing, to measure respiratory rate and movement.

Smart T Project

Project Smart T will bring together specialists from France and England to raise awareness of and explore opportunities for the commercialisation of Smart Inks with SMEs, whilst offering a solution to the threat of drug-resistant superbugs.

Community Health and Wellness


Creating Holistic Health Records (HHRs), which aims at integrating all health determinants.


The LifeGuide project aims to build a suite of tools that enable researchers and therapists to create, deploy and evaluate internet-based behavioural interventions.

AI and Health

E-Textiles Network

The E-Textiles Network is an EPSRC funded activity to bring together researchers and developers from academia and industry interested in adding eletronic functionality to textiles and their related products.


Cyclic and person-centric Health Management: Integrated approach for home, mobile and clinical environments (CHIRON) will address and harmonize the needs and interests of all the three main beneficiaries of the healthcare process.


Medical grade vital signs in a few seconds from a selfie camera, in trials with the NHS, transforming healthcare and quality of life.


Evaluating at specific points duing an ED visit (e.g., at registration or after a given clinical test) a machine learning model can make accurate triage predictions regarding exits from the process.

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