Digital Health and Wellbeing (DH&W) focuses on developing human-centred and accessible digital solutions to address unmet healthcare needs.
A particular emphasis is on algorithm development and digital biomarkers using wearable technologies and mobile computing to understand mechanistic (e.g., cognitive) as well as lifestyle factors in ageing (Godfrey, Alshabrawy, Rooksby, Pointon). Recognising the societal importance of this human centric approach, staff (Akhtar, Anwar, Sice, Elvin) research digital health challenges pertaining to vulnerable groups and information retrieval for decision support systems. We also research digital medicine-based topics in e.g., cancer-focused bioinformatics & functional genomics (Kurt, Woo)
Across the group we have a collaborative culture, regularly working with clinical and healthcare practitioners. Our computing science expertise is complimented by a broad spectrum of additional interests including but not limited to: wearable technology, digital biomarkers, bioinformatics, information behaviour, data mining, mental health, signalling theory and computational biology.
Some of our partners include Parkinson’s UK, Newcastle upon Tyne Hospitals NHS Trust, Northumbria Healthcare NHS Trust and Tyne, Esk and Wear Valley NHS Mental Health Trust.
This group is a part of the University’s multi-disciplinary research into the theme of Integrated Health and Social Care as well as Human and Digital Design.
Research from this group will be submitted to REF 2021 under UoA 11: Computer Science and Informatics.
To view research papers emanating from this group, please navigate to our Northumbria University research portal.
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Group leader: Interests: Bioinformatics, connected health, healthcare technology, sports technology, wearable systems |
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Deputy: Interests: HCI, interaction design, mobile computing information behaviour, information retrieval |
This research group forms part of the Department of Computer and Information Sciences.
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Interests: Data science, big data, health informatics, primary healthcare optimization and transformation, machine learning |
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Souza Franca Lucas
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Dr Naveed Anwar
Interests: Big data, data mining health informatics, digital entrepreneurship |
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Interests: Web design, web development, wellbeing informatics |
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Dr Zeyneb Kurt
Interests: Bioinformatics, computational Biology, statistics, machine learning |
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Interests: HCI, digital Health, development and evaluation of novel technologies for personal and public health |
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Interests: Wellbeing informatics, systems and complexity sciences, interpersonal neurobiology and the arts |
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Affiliated members: |
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Interests: Data mining, information analytics, knowledge discovery, intelligence integration |
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Interests: Synthetic biology, nature-inspired computing, collective behaviour crowd simulation
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Rachel Mason (with faculty of Health and Life Sciences)
Lisa Graham (with faculty of Health and Life Sciences)
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Using AI for running gait analysis |
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About music service to provide self-care support during COVID (Music for wellbeing site) |
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The Observatory for Monitoring Data-Driven Approaches to COVID-19 |
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Developing real world system capability in trauma informed care (About, AHSN NENC). Summit report (see page 10) |
More details coming soon...
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Computer and Information Sciences at Northumbria University encompasses all of our work in computer science, games, animation and digital visual effects, computer forensics and security, network technology, website development, library management and information sciences.
Computer and Information Sciences students learn from the best – inspirational academic staff with a genuine passion for their subject. Our courses are at the forefront of current knowledge and practice and are shaped by world-leading and internationally excellent research.
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