Picking a fight with dementia since 2006.
We are a multidisciplinary research group who aims to harness the power of data science and artificial intelligence to prevent, identify and treat dementia more effectively.
We undertake research which tackles some of the biggest challenges in science and medicine. Our ultimate goal is to develop artificial clinical intelligence that transforms dementia healthcare.
We collaborate with healthcare providers, charities, universities, and industry to apply this research to personalised dementia medicine. The technologies which we are developing have the potential to transform the way in which dementia is diagnosed. Our research is made possible by charities, the NHS, Research Councils, and other supporters.
Meet some of the team
Prof David Llewellyn
Prof Llewellyn is an Associate Professor at the University of Exeter Medical School and a Fellow at the Alan Turing Institute. He also holds an honorary contract with Devon Partnership NHS Trust. He moved to Exeter in 2009 having received advanced training in epidemiology and data science as a Research Associate at the University of Cambridge. His research aims to enhance the timely detection of dementia, with a focus on developing strategies for primary and secondary prevention using machine learning. He is an expert on the evaluation of cognitive function and dementia, and he advises on cognitive measures as a member of the Scientific Advisory Board for the English Longitudinal Study of Ageing. He also sits on Alzheimer’s Research UK’s Grant Review Board and Clinical Policy Advisory Panel. He uses a combination of evidence synthesis, data science and machine learning to develop new translational insights to identify more effective interventions and enhance the diagnostic pathway for dementia.
Alice Garrood is the Implementation lead for DECODE at the College of Medicine and Health, where she is responsible for the application of the DECODE technology within real-world clinical settings. Alice has an extensive experience within clinical and academic research. Prior to joining the team Alice worked for the National Institute of Health Research (NIHR) as a Research Delivery Manager, overseeing the delivery of an extensive portfolio of studies across a number of disciplines, including; Ageing, Mental Health, Dementia, Neurodegeneration and Neurology, across 11 acute and mental health trusts in the South West Peninsula.
Felicity began her PhD in September 2015 after completing her undergraduate degree, during which she undertook projects in automating the identification, and predicting the growth, of cancerous tumours in the head and neck; and modelling the human spine. She is a member of the Alzheimer’s Society Doctoral Training Centre at the University of Exeter. In particular, her PhD research explores the use of advanced computational modelling for the differential diagnosis of dementia, with a view to inform the debate about the optimal diagnostic categories for dementia; and her current research interests include machine learning, image processing and real-world problems.
Dr Elzbieta Kuzma
Dr Kuźma is a Research Fellow in Neuroepidemiology at the University of Exeter Medical School. Her background is in neuropsychology with particular expertise in the assessment of dementia. Elżbieta’s interests lie in developing smart tools to help identify dementia early and in identification of potentially modifiable dementia risk factors from a lifespan perspective that would inform preventive strategies. She has extensive experience in working with large population-based cohort studies such as the UK Biobank and the US Health and Retirement Study. In her research she also focuses on evidence synthesis using meta-analytic techniques.
Dr Sarah Moore
Academic Clinical Fellow
Dr Moore is an Academic Clinical Fellow in Primary Care. She is excited by the potential applications of AI and machine learning to healthcare. Sarah spends half of her week working as a GP and the other half working on the implementation of DECODE, a novel support system for dementia identification in non-specialist settings.
Janice Ranson is a Doctoral Researcher at the University of Exeter Medical School, with a background in psychological research methods and advanced statistical analysis. She is particularly interested in prediction model development, and her research is focused on the derivation and validation of the underlying predictive algorithms for DECODE, using nationally representative population-based cohorts. Prior to her PhD, Janice worked for Devon and Cornwall Police Intelligence Directorate as an Operational Intelligence Researcher, responsible for the analysis of large crime and communications data.
Sarah has worked within supporting roles in the research arena since 2006, initially as a research administrator to a number of large, EU-funded projects. She then moved to the University of Exeter in 2007 to undertake posts that involved supporting a number of health research studies within the Medical School. These roles have included Research Administrator, Associate Research Fellow, and Research Manager.
Our research is made possible by the generous support of the following partners: