Area of research
Neurology · Economics and Econometrics
Research interest
Research interests include Parkinson's Disease Mechanisms and Treatments, Health Systems, Economic Evaluations, Quality of Life, Voice and Speech Disorders, and Telemedicine and Telehealth Implementation.
Validation of remote multimodal AI screening for Parkinson disease across diverse settings.
Environmental toxicants and Parkinson's disease: recent evidence, risks, and prevention opportunities
Using wearable sensors and machine learning to assess upper limb function in Huntington's disease.
AI-Enabled Parkinson’s Disease Screening Using Smile Videos
Locally adapting digital health technologies to address the global challenge of Parkinson’s disease
Trichloroethylene and Parkinson Disease.
A PLAN to address the Parkinson pandemic.
Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study.
Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study (Preprint)
Remote AI Screening for Parkinson's Disease: A Multimodal, Cross-Setting Validation Study
Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study over 12 months
Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study over 12 months.
The Body, the Brain, the Environment, and Parkinson’s Disease
Improved measurement of disease progression in people living with early Parkinson's disease using digital health technologies.
Dry-Cleaning Chemicals and a Cluster of Parkinson's Disease and Cancer: A Retrospective Investigation.
Using a Smartwatch and Smartphone to Assess Early Parkinson’s Disease in the WATCH-PD Study – 12-month results
Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study
Trichloroethylene: An Invisible Cause of Parkinson’s Disease?
Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study.
Towards interpretable speech biomarkers: exploring MFCCs
Using AI to measure Parkinson's disease severity at home.
Paraquat, Parkinson's Disease, and Agnotology.
A User-Centered Framework to Empower People with Parkinson's Disease
Retraction Note: Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online.
Enhanced sensitivity to disease progression using digital health technologies in early Parkinson’s disease
Six Action Steps to Address Global Disparities in Parkinson Disease
Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response
Remote smartphone monitoring of Parkinson's disease and individual response to therapy.
Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response.
Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease.