About
With a rising population across the globe, many societies are struggling to meet healthcare demand. Digital health care interventions are key to tackling this issue and help to enhance the efficiency, delivery and security of services to patients, and supporting care in the community.
But with so many new digital technologies available and the immediate access to massive data sets how can we harness this information to ensure it makes a real difference to society? And how do we overcome the challenges of privacy and personal data protection?
Southampton scientists across medicine and electronics and computer science are combining machine learning, genome sequencing and other computational methods to develop new digital health interventions to help healthcare professionals and patients to manage illness and promote health and wellbeing. This includes both hardware and software solutions including using Internet of Things smart devices, wearable devices and monitoring sensors.
Our teams are also using digital health technologies to analyse already available data sets to establish trends of behaviour and decision patterns with the aim of predicting future healthcare needs as well as examining the role data protection plays in this ever-expanding research field.
Transforming chronic respiratory disease care
Groundbreaking sticker could monitor breathing and help save lives.
People, projects and publications
People
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Doctor Ondrej Hovorka
Associate ProfessorNanorobotics for biomedicine
Computational nanomagnetism
Email: O.Hovorka@soton.ac.ukTel: +44 23 8059 4898Address: Boldrewood Campus, Burgess Road, Southampton, SO16 7QF -
Doctor Orestis Katsamenis
Lecturer in Biomedical Imaging3D X-ray Histology (XRH)
Accepting applications from PhD studentsEmail: O.Katsamenis@soton.ac.ukTel: +44 23 8059 7574Address: B5, East Highfield Campus, University Road, Southampton, SO17 1BJ -
Professor Otto Muskens
Professor of PhysicsProgrammable photonic circuits using ultralow loss phase change materials.
Accepting applications from PhD studentsEmail: O.Muskens@soton.ac.uk -
Professor Owen Rackham
ProfessorAccepting applications from PhD studentsEmail: O.J.L.Rackham@soton.ac.ukAddress: B85, East Highfield Campus, University Road, Southampton, SO17 1BJ -
Professor Patrick Doncaster
Professor of EcologyPopulation ecology
Email: cpd@soton.ac.ukTel: +44 23 8059 4352Address: B85, East Highfield Campus, University Road, Southampton, SO17 1BJ -
Professor Paul Elkington
Professor of Respiratory Med. & Director of the Institute for Medical Innovationtuberculosis
immunopathology
diagnosis
Accepting applications from PhD studentsEmail: P.Elkington@soton.ac.uk -
Professor Paul Skipp
Professor of ProteomicsAccepting applications from PhD studentsEmail: pjss@soton.ac.ukTel: +44 23 8059 4204Address: B85, East Highfield Campus, University Road, Southampton, SO17 1BJ -
Doctor Pete Lawrence
Associate ProfessorChildren and young people's development in the face of adversity.
Accepting applications from PhD studentsEmail: P.J.Lawrence@soton.ac.ukTel: +44 23 8059 2584Address: B44, West Highfield Campus, University Road, Southampton, SO17 1BJ -
Professor Pete Worsley
ProfessorSkin and Soft Tissue Health
Bioengineering
Healthcare Technologies
Accepting applications from PhD studentsEmail: P.R.Worsley@soton.ac.ukTel: +44 2381208287Address: Southampton General Hospital, Tremona Road Shirley, Southampton, SO16 6YD -
Emeritus Professor Peter Griffiths
Health workforce
Epidemiology
Nursing
Patient safety
Email: peter.griffiths@soton.ac.ukTel: +44 23 8059 7877Address: B67, West Highfield Campus, University Road, Southampton, SO17 1BJ
Pagination
Related research institutes, centres and groups
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Digital Health and Biomedical Engineering
Our group brings together engineers and computer scientists to discover new approaches to diagnose and manage health and medical conditions. -
Institute for Life Sciences
We bring together interdisciplinary researchers with expertise across the themes of health and medicine, living systems, disruptive life technologies, and insights through data