Computing technologies for Healthcare

The School pioneers healthcare technologies that target applications in computational biology, intelligent social agents, decision support tools, brain computer interfaces and health monitoring. There is a strong culture of inter-disciplinary research and training via several links that include Glasgow Polyomics, Institute of Cancer Sciences, MRC Centre for Virus Research, Glasgow Precision Oncology Laboratory, Robertson Centre for Biostatistics, the Institute of Neuroscience and Psychology, the Adam Smith Business School, the School of Critical Studies, the School of Engineering, the Scottish Graduate School of the Social Sciences and the School of Physics and Astronomy. Statistical machine learning approaches are developed to target questions in cancer and virus evolution, provide decision support based on Electronic Health Records and develop intelligent agents that sense human neurophysiology and provide support in mental and psychiatric disorders that include dementia, autism and depression. The School has more than 30 years’ experience in information retrieval that relates to privacy issues and fair-representations in sensitive data. The School is also involved in building the next generation of quantum imaging technology for monitoring of Wellbeing and disease.

Theme Lead: Dr Fani Deligianni

Kidney exchange - cycles

Academic Staff

Dr. Christos Anagnostopoulos, (Pervasive and Distributed Intelligence)

Prof. Stephen Brewster, (Human Computer Interactions technologies for mental disorders)

Dr. Jeff Dalton, AI Turing Fellow and former member of Google Health, (NLP, Deep Learning)

Dr. Fani Deligianni, (Decision support  systems, analysis of neurophysiological data)

Dr. Mary Ellen Foster, (Building artificial characters that interact naturally with people)

Dr Bjorn Jensen, (Biomedical imaging)

Dr. Craig MacDonald, (Information Retrieval)

Prof. David Manlove, (Matching problems in the field of algorithms and complexity)

Dr. Nikos Ntarmos, (Distributed (Big) data management)

Prof. Iadh Ounis, (Information Retrieval)

Dr. William Pettersson, (Complexity theory, Theoretical efficiency of an algorithm)

Dr. Lito Michala (Internet of Things)

Prof. Roderick Murray-Smith, (Inference, Dynamics and Interaction)

Dr. Jose Cano Reyes, (Computer Architecture, Edge Computing, Deep Learning)

Dr. Simon Rogers (Bioinformatics)

Prof. Alessandro Vinciarelli, (Computational Social Intelligence)

Dr John Williamson, (Human Computer Interfaces in healthcare applications)

Dr. Ke Yuan (Bioinformatics and cancer research)

 


Projects

  • A multi-million project on how quantum imaging will enable remote detection and monitoring of parameters such as gait, macro and micro-movements, blood flow, heart rate and potentially even brain function. When combined with data-driven models, will allow to both monitor health and the onset of non-communicable diseases (NCDs) but also recovery from NCDs or surgery with personalised and continuously updated re-habilitation programmes.
    Funded by EPSRC - Quantum Imaging for Monitoring of Wellbeing & Disease in Communities, Prof. Roderick Murray-Smith (Co-I), 2020-2025.
  • A multi-million project on ‘Closed-loop Data Science’ applied in several areas including personalisation of hearing aids and analysis of cancer data.
    Funded by EPSRC, Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics, Prof. Roderick Murray-Smith, Dr. Craig Macdonald, Dr. Nikos Darmos, Prof. Iadh Iounis, Dr. Ke Yuan, Dr. Simon Rogers, Dr. Christos Anagnostopoulos, Dr. Bjorn Jensen, Dr. John Williamson, 2018-2022.
  • Developing search technologies for precision medicine and biomedical text. It come 2nd among 25 groups worldwide in the TREC Precision Medicine campaign in November (NIST, USA). The developed system was also one of the best performing among 50 participating groups in the TREC COVID campaign to automatically distil information from published articles as the pandemic progressed.
    Funded by UFMG (Brazil), Dr Craig Macdonald and Prof. Iadh Ounis, 2020-2022.
  • This project will enhance capacity to understand SARS-CoV-2/hCoV-19 infection in three regions of Africa (Kenya, The Gambia and Uganda) and globally.
    Funded by Wellcome Trust - African COVID-19 preparedness (AFRICO19), Dr. Ke Yuan (Co-I), 2020-2022.
  • Over 1200 kidney transplants identified by the algorithms developed at Glasgow that match patients and donors for the UK Living Kidney Sharing Scheme have proceeded to surgery. This is estimated to have saved the NHS around £90M over the period 2008-2030, taking into account the cost of the surgery versus the savings made by releasing a patient from long-term dialysis. Read more in these two articles: ‘How Operational Research Helps Kidney Patients in the UK’ and ‘Algorithms for Kidney Donation’ 
    Funded by CA15210 - European Network for Collaboration on Kidney Exchange Programmes, European Cooperation in Science and Technology (COST), Prof. David Manlove & Dr. William Pettersson, 2016-2021
  • iCaird - the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics. This is a multi-million project that aims to exploit Artificial Intelligence techniques to discover new insights within health data and democratise secure access to clinical data.
    Funded by Innovate UK, Prof. Rod Murray-Smith, Prof. Muffy Calder, Dr. Bjorn Sand Jensen and Dr. John Williamson, 2018 – 2021.
  • This project promotes collaboration with the Scottish Autism Centre and it aims to teach social skills to autistic adults via robots.
    Funded by EPSRC – A Robot Training Buddy for Adults with ASD, Prof. Alessandro Vinciarelli and Dr. Mary Ellen Foster, 2017-2021.
  • EngD Scholarship on ‘Asking questions about medical images’. This project focuses on a range of methodological approaches in computer vision and natural language processing, which collectively support answering questions about 2D and 3D radiology images.
    Funded by Canon Medical Systems, Maciej Pajak, Dr. Fani Deligianni, Dr. Jeff Dalton, 2020-2024.
  • PhD Scholarship on Applying machine learning models to genome data to understand the evolution of drug resistance from virus to cancer evolution. 
    Funded by MRC Precision Medicine DTP, Dr. Ke Yuan, 2020-2024.
  • A high-content platform for cellular mechanobiology in cancer research
    Funded by CRUK, Dr Bjorn Jensen, 2018-2021.
  • The project aims to develop technological solutions of handling wearable data based on deep learning to address ethical and data privacy considerations of patients and their social cycle.
    Funded by Human Data Interaction EPSRC Network - Human Motion Analysis – Agency, Negotiation and Legibility in Data Handling, Dr. Fani Deligianni, 2020-2021.
  • EngD project on multi-modal and self-supervised machine learning for medical image analysis
    Funded by Canon Medical Research (Edinburgh), Dr. Bjorn Jensen, 2018-2021.
  • PhD Placement Mobility grant on ‘Endoscopic Surgery Image Enhancement’, which aims to design hardware architectures to remove unwanted distortions in the input pixels due to surgical smoke or fog particles for real-time operations.
    Funded by Newton Bhabha Fund, Dr Jose Cano Reyes, 2020-2021.
  • Fast multi-shot epidemic interventions for post lockdown Covid-19 mitigation: Open-loop mitigation strategies.
    Funded by EPSRC, Prof. Roderick Murray-Smith, 2020.
  • The network aims to design, develop and evaluate novel technologies to enable mental health services that are effective, affordable and accessible for young people.
    Funded by H2020 International Training Network “Technology Enabled Mental Health for Young People”, Prof. Steven Brewster, 2016-2020. 
  • This project focused on developing an automated mix and infusion system that monitored hypoglycaemia, prepared the glucagon and injected just in time to avoid loss of consciousness. The IoT device was edge processing information locally and only connected to a smartphone app to securely inform careers if intervention was required and alarm patients to take further action.
    Royal Society of Edinburgh/Scottish Enterprise Entrepreneurial Fellowship CH12 on Clydescope Health, Dr Anna Lito Michala, 2018-2019.
  • Analysis of attachment patterns in school age children with collaboration with the Adverse Childhood Experiences Centre  
    Funded by EPSRC – ‘SAM: Automated Attachment Analysis Using the School Attachment Monitor’, Prof. Steven Brewster, and Prof Alessandro Vinciarelli, 2015-2018.

How to join

Funded PhD Opportunities on healthcare applications are provided via the following main routes:

Visit University of Glasgow vacancies for job opportunities.

 


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