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 their application in large cohorts. His group has recently developed the Mezurio smartphone app.
He is PI of the open source Digital Biomarkers for Dementia project co-funded by Roche and Lilly. This work seeks to create smartphone-based, active and passive assessments of cognition and daily function targeted at earliest identification of prodromal Alzheimer's Disease. He is also developing digital phenotyping approaches for Parkinson’s, Mood, & cognition. His True Colours platform has collected more than 1M self-reports from over 35,000 patients. He is technical lead for the Cognitive Health & Neurosciences Clinical Trials Unit, and Digital Device lead for the Oxford Health Biomedical Research Centre.
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
-
Feasibility and usability of remote monitoring in Alzheimer's disease.
Journal article
Muurling M. et al, (2024), Digit Health, 10
-
Actigraphy-derived physical activity levels and circadian rhythm parameters in patients with psoriatic arthritis: relationship with disease activity, mood, age and BMI.
Journal article
McGagh D. et al, (2023), Ther Adv Musculoskelet Dis, 15
-
INVESTIGATING THE RELATIONSHIP BETWEEN DAILY DISEASE IMPACT SCORES AND MOOD IN PATIENTS WITH PSORIATIC ARTHRITIS USING A SMARTPHONE APPLICATION: A NOVEL USE OF THE PsAID-9 QUESTIONNAIRE
Conference paper
McGagh D. et al, (2023), RHEUMATOLOGY, 62
-
Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD study.
Journal article
Muurling M. et al, (2021), Alzheimers Res Ther, 13
-
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), Front Aging Neurosci, 13
-
Gallery Game: Smartphone-based assessment of long-term memory in adults at risk of Alzheimer's disease.
Journal article
Lancaster C. et al, (2020), J Clin Exp Neuropsychol, 42, 329 - 343
-
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 Uhealth, 8
-
The True Colours Remote Symptom Monitoring System: A Decade of Evolution.
Journal article
Goodday SM. et al, (2020), J Med Internet Res, 22
-
Selecting Remote Measurement Technologies to Optimize Assessment of Function in Early Alzheimer's Disease: A Case Study.
Journal article
Owens AP. et al, (2020), Front Psychiatry, 11