Research Group

Digital Health

Professor Age Chapman examines some proteomics data analytics

Our researchers are examining and developing information and communication technologies to help address the health problems and challenges faced by patients.

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. 

People, projects and publications

People

Professor Stephen Beers

Professor of Immunology & Immunotherapy

Accepting applications from PhD students

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Professor Steve Darby

Associate Dean Research

Research interests

  • River and coastal flooding - relationships between geomorphology and flooding in rivers and deltas
  • Biogeomorphology - interactions between river processes and life
  • River bank erosion processes

Accepting applications from PhD students

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Dr Steven Glautier

Associate Professor

Accepting applications from PhD students

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Professor Stuart Clarke PhD FRCPath FFPH

Professor of M'biology and Public Health

Accepting applications from PhD students

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Professor Sue Latter

Professor of Health Services Research

Research interests

  • Medicines management
  • Prescribing
  • End-of-life medicines management
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Professor Sumeet Mahajan MSc, MTech, PhD, FHEA, FRSC

Prof of Molecular BioPhotonics & Imaging

Research interests

  • New chemical biology methods based on Raman spectroscopy and label-free imaging
  • Methodology and device development for commercialisation and clinical translation
  • Neuro-diagnostics and early detection of dementia and neurodegenerative diseases

Accepting applications from PhD students

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Dr Sylvia Pender

Associate Professor
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Dr Tess Maguire

Principal Teaching Fellow
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Professor Thanassis Tiropanis

Professor

Research interests

  • Decentralised information systems and infrastructures
  • Data (and Web) observatories
  • Bias in datasets and incassible algorithms

Accepting applications from PhD students

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Professor Thomas Blumensath

Professor

Research interests

  • I develop and study advanced algorithms that can solve challenging inverse problems by efficiently exploiting complex prior information. Using techniques from mathematics, statistics and machine learning, my work concentrates primarily on problems in x-ray tomographic image reconstruction and modelling.
  • I work closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facility in Lab-based XCT, the UK’s synchrotron facility at the Diamond Light Source, and ISIS neutron imaging beamline) to find practical solutions to a range of important scientific problems from plant science to manufacturing.
  • My research interests cover areas such as: Theoretical and computational methods for Signal and Image Processing (Machine Learning, Compressed Sensing, Statistical Signal and Image Processing, Quantum Computing, Inverse Problems, Optimisation, X-ray Tomographic Imaging); Advanced tomographic imaging strategies: (limited angle tomography and laminography, Spectral X-ray imaging, Stereo and extreme limited view tomography); Efficient computational methods for tomographic reconstruction, including GPU acceleration, distributed computation and advanced optimisation strategies, Constrained optimisation for ill-conditioned and underdetermined   tomographic inverse problems, Applications of X-ray tomography to the inspection of manufactured components, Multimodal tomographic imaging

Accepting applications from PhD students

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True interdisciplinary research, in which collaborators share the challenges and strengths of different domains is more than just applying one domain’s techniques to another area’s problems. Interdisciplinary research opens up new and exciting research opportunities in both domains by changing the shape of the problem and highlighting why existing approaches are not fit for use.
Professor of Computer Science

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