Digital Progression Biomarkers as Novel Endpoints in Clinical Trials: A Multistakeholder Perspective

People with Parkinson’s Disease: What Symptoms Do They Most Want to Improve and How Does This Change with Disease Duration?

(2021) Rebecca J. Port et al.   Journal of Parkinsons Disease

Application of Machine Learning in Drug Development and Regulation: Current Status and Future Potential

(2020) Qi Liu et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease

(2020) Luba Smolensky et al.   Scientific Data

The Use of Mobile Technology in Drug Development

(2020) Neha Mehta et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Digital technology and COVID-19

(2020) Daniel Shu Wei Ting et al.   NATURE MEDICINE

Remote Digital Monitoring for Medical Product Development

(2020) Elena S. Izmailova et al.   CTS-Clinical and Translational Science

What People with Parkinson’s Disease Want

(2020) John Andrejack et al.   Journal of Parkinsons Disease

Digital health technologies in clinical trials for central nervous system drugs: an EU regulatory perspective

(2020) Valentina Mantua et al.   NATURE REVIEWS DRUG DISCOVERY

Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson’s Patients Using Digital Mobility Outcomes

(2020) Marco Viceconti et al.   SENSORS

Phenotype-Agnostic Molecular Subtyping of Neurodegenerative Disorders: The Cincinnati Cohort Biomarker Program (CCBP)

(2020) Andrea Sturchio et al.   Frontiers in Aging Neuroscience

A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies

(2019) Alberto J. Espay et al.   MOVEMENT DISORDERS

The Personalized Parkinson Project: examining disease progression through broad biomarkers in early Parkinson’s disease

(2019) B. R. Bloem et al.   BMC Neurology

Measuring Parkinson's disease over time: The real‐world within‐subject reliability of the MDS‐UPDRS

(2019) Luc J.W. Evers et al.   MOVEMENT DISORDERS

Biomarker definitions and their applications

(2018) Robert M Califf   EXPERIMENTAL BIOLOGY AND MEDICINE

Digital phenotyping approaches and mobile devices enhance CNS biopharmaceutical research and development

(2018) Daniel G. Smith   NEUROPSYCHOPHARMACOLOGY

Wearables and the medical revolution

(2018) Jessilyn Dunn et al.   Personalized Medicine

The Emerging Evidence of the Parkinson Pandemic

(2018) E. Ray Dorsey et al.   Journal of Parkinsons Disease

How Mobile Health Technology and Electronic Health Records Will Change Care of Patients with Parkinson’s Disease

(2018) Clint Hansen et al.   Journal of Parkinsons Disease

Biomarker-driven phenotyping in Parkinson's disease: A translational missing link in disease-modifying clinical trials

(2017) Alberto J. Espay et al.   MOVEMENT DISORDERS

How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review

(2017) Erika Rovini et al.   Frontiers in Neuroscience

Technology in Parkinson's disease: Challenges and opportunities

(2016) Alberto J. Espay et al.   MOVEMENT DISORDERS

Perspective: Data sharing for discovery

(2016) Mark Frasier   NATURE

The mPower study, Parkinson disease mobile data collected using ResearchKit

(2016) Brian M. Bot et al.   Scientific Data

Parkinson’s Disease Subtypes in the Oxford Parkinson Disease Centre (OPDC) Discovery Cohort

(2015) Michael Lawton et al.   Journal of Parkinsons Disease

Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease 1

(2015) Diane Stephenson et al.   Journal of Parkinsons Disease