Chris Hinds
BA (Hons), MSc, DPhil
Robertson Fellow in Digital Phenotyping, Nuffield Department of Population Health
Oxford Digital Phenotyping Laboratory
Chris Hinds holds the Robertson Foundation Fellowship in Digital Phenotyping. His research involves the development of novel digital phenotyping approaches and explores how these technologies can be used to create new kinds of eCohort. His group has recently developed the Mezurio smartphone app.
He is Principal Investigator for the GameChanger study, a collaboration with Alzheimer’s Society, exploring how smartphone apps might help us detect the earliest signs of disease. He is PI of the open source Digital Biomarkers for Dementia project co-funded by Roche and Lilly. He also leads on technology for IMI RADAR-AD, a study of the role of active and passive technologies for understanding Alzheimer’s Disease which will take place across Europe, and contributes to the UK Dementias Research Platform.
Chris is an Investigator in HDR UK, and the MRC Pathfinder initiatives. He is also Digital Device lead for the Oxford Health Biomedical Research Centre. His True Colours platform has collected more than 1M self-reports from over 35,000 patients.
Before joining the BDI, Chris was a Senior Research Fellow at the Oxford University Department of Psychiatry and the Head of Applications Development for Oxford Health NHS FT. He has played a significant role at several health-tech startups, and lectured extensively for the Oxford University Software Engineering Programme. His DPhil, undertaken at the Oxford University Computing Laboratory, considered methodologies for the design of digital health technologies, especially those using ethnographic methods; his undergraduate degree is in Computation, also from the Oxford University Computing Laboratory.
Recent publications
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Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD study.
Journal article
Muurling M. et al, (2021), Alzheimer's research & therapy, 13
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Wearable Devices for Assessing Function in Alzheimer's Disease: A European Public Involvement Activity About the Features and Preferences of Patients and Caregivers.
Journal article
Stavropoulos TG. et al, (2021), Frontiers in aging neuroscience, 13
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Gallery Game: Smartphone-based assessment of long-term memory in adults at risk of Alzheimer's disease.
Journal article
Lancaster C. et al, (2020), Journal of clinical and experimental neuropsychology, 42, 329 - 343
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Evaluating the Feasibility of Frequent Cognitive Assessment Using the Mezurio Smartphone App: Observational and Interview Study in Adults With Elevated Dementia Risk.
Journal article
Lancaster C. et al, (2020), JMIR mHealth and uHealth, 8
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The True Colours Remote Symptom Monitoring System: A Decade of Evolution.
Journal article
Goodday SM. et al, (2020), Journal of medical Internet research, 22
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Selecting Remote Measurement Technologies to Optimize Assessment of Function in Early Alzheimer's Disease: A Case Study.
Journal article
Owens AP. et al, (2020), Frontiers in psychiatry, 11
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Real-time data monitoring for ulcerative colitis: patient perception and qualitative analysis.
Journal article
Walsh A. et al, (2019), Intestinal research, 17, 365 - 374
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Daily and weekly mood ratings using a remote capture method in high-risk offspring of bipolar parents: Compliance and symptom monitoring.
Journal article
Duffy A. et al, (2019), Bipolar disorders, 21, 159 - 167
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Defining Faecal Calprotectin Thresholds as a Surrogate for Endoscopic and Histological Disease Activity in Ulcerative Colitis-a Prospective Analysis.
Journal article
Walsh A. et al, (2019), Journal of Crohn's & colitis, 13, 424 - 430