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Lisa Shulman on Muck Rack

Lisa Shulman

As seen in: HuffPost, BMJ Open, MDPI, TODAY, U.S. News and World Report, Jewish Standard, Spectrum, The Journal of Pediatrics, Brain & Life, Research Protocols and
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Articles

Racial Disparities in Parkinson Disease Clinical Phenotype, Management, and Genetics: Protocol for a Prospective Observational Study

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By Lisa Shulman
| Research Protocols
Background Objective Overview Study Setting and Design Eligibility Criteria Recruitment and Screening Strategies Study Assessments and Outcome Measures Data type or domain and measure or instrument Description Parkinson disease severity MDS-UPDRSa parts I to IVb Revised, improved version of the MDS-UPDRS for use in PDc studies [] Hoehn and Yahr stages Common system for staging PD [] Physical function 2-minute walk, 4-meter gait speed, 9-hole pegboard, grip strength, and balance testb To...
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Applying Wearable Sensors and Machine Learning to the Diagnostic Challenge of Distinguishing Parkinson’s Disease from Other Forms of Parkinsonism

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By Rana Khalil, Lisa Shulman, Ann L. Gruber-Baldini, Stephen Reich
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson’s Disease

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By Rana Khalil, Lisa Shulman, Ann L. Gruber-Baldini, Sunita Shakya
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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