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

Dr Daniel Kaganovich

Associate Professor of Neurobiology
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Dr Daniel Spencer

Lecturer
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Dr Daniel Stabler

Lecturer in Plant-Organism Interactions

Accepting applications from PhD students

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Dr Danielle Schoenaker BSc, MSc, FHEA, PhD

Senior Research Fellow

Research interests

  • Preconception health
  • Developmental Origins of Health and Disease
  • Maternal, paternal and child health

Accepting applications from PhD students

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Professor Dankmar Böhning

Professor of Medical Statistics

Research interests

  • Meta-analysis
  • Application of capture-recapture methods in Health and Social Science

Accepting applications from PhD students

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Dr Dave Rowe

Senior Research Fellow
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Professor David Baldwin

Professor in Psychiatry
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Professor David Simpson

Prof of Biomedical Signal Processing

Research interests

  • His research interests are in biomedical signal processing with applications in neurophysiology and cardio-vascular and cerebro-vascular control. Specific topics are:
  • Blood flow control in the brain (how does the brain regulate is own blood supply and how to detect impairment of this function).
  • Auditory evoked potentials (methods to detect the small electrical responses of the brain to auditory stimulation for the assessment of various hearing disorders).

Accepting applications from PhD students

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Dr David Toal

Associate Professor

Research interests

  • Design optimisation & automation
  • Machine learning & deep learning
  • Computer aided design
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Dr David Tumbarello

Lecturer in Biomedical Sciences

Research interests

  • Membrane Trafficking
  • Autophagy
  • Mitochondrial Quality Control

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

Related research institutes, centres and groups

Related research institutes, centres and groups

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