Zobrazeno 1 - 10
of 255
pro vyhledávání: '"E Ray, Dorsey"'
Autor:
Jamie L. Adams, Tairmae Kangarloo, Yishu Gong, Vahe Khachadourian, Brian Tracey, Dmitri Volfson, Robert D. Latzman, Joshua Cosman, Jeremy Edgerton, David Anderson, Allen Best, Melissa A. Kostrzebski, Peggy Auinger, Peter Wilmot, Yvonne Pohlson, Stella Jensen-Roberts, Martijn L. T. M. Müller, Diane Stephenson, E. Ray Dorsey, the Parkinson Study Group Watch-PD Study Investigators and Collaborators
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Digital measures may provide objective, sensitive, real-world measures of disease progression in Parkinson’s disease (PD). However, multicenter longitudinal assessments of such measures are few. We recently demonstrated that baseline asses
Externí odkaz:
https://doaj.org/article/7b304f263c954a19b734d9277ee6190c
Autor:
Matthew D. Czech, Darryl Badley, Liuqing Yang, Jie Shen, Michelle Crouthamel, Tairmae Kangarloo, E. Ray Dorsey, Jamie L. Adams, Josh D. Cosman
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Digital health technologies show promise for improving the measurement of Parkinson’s disease in clinical research and trials. However, it is not clear whether digital measures demonstrate enhanced sensitivity to disease progres
Externí odkaz:
https://doaj.org/article/d8b0b40ff9e043efa63b24c88fc91fa6
Autor:
Brian Tracey, Dmitri Volfson, James Glass, R’mani Haulcy, Melissa Kostrzebski, Jamie Adams, Tairmae Kangarloo, Amy Brodtmann, E. Ray Dorsey, Adam Vogel
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical interpretability. As an example, Mel frequency
Externí odkaz:
https://doaj.org/article/e0ea7c4330da4036a2bfa9add0fd51ff
Autor:
Samantha E. Lettenberger, Emily A. Hartman, Kali Tam, Peggy Auinger, Meghan E. Pawlik, Renee Wilson, Elizabeth T. Banda, Blanca Valdovinos, Daniel Kinel, Roy N. Alcalay, E. Ray Dorsey, Lucy Norcliffe-Kaufmann, Saloni Sharma, Robert G. Holloway, Ruth B. Schneider
Publikováno v:
Journal of Clinical and Translational Science, Vol 8 (2024)
In a prospective, remote natural history study of 277 individuals with (60) and genetically at risk for (217) Parkinson’s disease (PD), we examined interest in the return of individual research results (IRRs) and compared characteristics of those w
Externí odkaz:
https://doaj.org/article/4fa5e572611f4adca78eb96cb592aaeb
Autor:
Adonay S. Nunes, Meghan Pawlik, Ram Kinker Mishra, Emma Waddell, Madeleine Coffey, Christopher G. Tarolli, Ruth B. Schneider, E. Ray Dorsey, Ashkan Vaziri, Jamie L. Adams
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundSpeech changes are an early symptom of Huntington disease (HD) and may occur prior to other motor and cognitive symptoms. Assessment of HD commonly uses clinician-rated outcome measures, which can be limited by observer variability and epis
Externí odkaz:
https://doaj.org/article/609b27fdfced4391b4e14015451b5734
Autor:
Jamie L. Adams, Tairmae Kangarloo, Brian Tracey, Patricio O’Donnell, Dmitri Volfson, Robert D. Latzman, Neta Zach, Robert Alexander, Peter Bergethon, Joshua Cosman, David Anderson, Allen Best, Joan Severson, Melissa A. Kostrzebski, Peggy Auinger, Peter Wilmot, Yvonne Pohlson, Emma Waddell, Stella Jensen-Roberts, Yishu Gong, Krishna Praneeth Kilambi, Teresa Ruiz Herrero, E. Ray Dorsey, the Parkinson Study Group Watch-PD Study Investigators and Collaborators
Publikováno v:
npj Parkinson's Disease, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract Digital health technologies can provide continuous monitoring and objective, real-world measures of Parkinson’s disease (PD), but have primarily been evaluated in small, single-site studies. In this 12-month, multicenter observational stud
Externí odkaz:
https://doaj.org/article/cc99401b7b5f4b508d697e05435b6623
Autor:
George Roussos, Teresa Ruiz Herrero, Derek L. Hill, Ariel V. Dowling, Martijn L. T. M. Müller, Luc J. W. Evers, Jackson Burton, Adrian Derungs, Katherine Fisher, Krishna Praneeth Kilambi, Nitin Mehrotra, Roopal Bhatnagar, Sakshi Sardar, Diane Stephenson, Jamie L. Adams, E. Ray Dorsey, Josh Cosman
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-10 (2022)
Abstract Smartphones and wearables are widely recognised as the foundation for novel Digital Health Technologies (DHTs) for the clinical assessment of Parkinson’s disease. Yet, only limited progress has been made towards their regulatory acceptabil
Externí odkaz:
https://doaj.org/article/db03089d79b34210b7b6df5f8e088dd6
Autor:
Alex Page, Norman Yung, Peggy Auinger, Charles Venuto, Alistair Glidden, Eric Macklin, Larsson Omberg, Michael A. Schwarzschild, E. Ray Dorsey
Publikováno v:
Digital Biomarkers, Vol 6, Iss 1, Pp 1-8 (2022)
Background: Smartphones can generate objective measures of Parkinson’s disease (PD) and supplement traditional in-person rating scales. However, smartphone use in clinical trials has been limited. Objective: This study aimed to determine the feasib
Externí odkaz:
https://doaj.org/article/f908f9e07a3249b8bcfc073aa5584d1f
Autor:
Jamie L. Adams, Karthik Dinesh, Christopher W. Snyder, Mulin Xiong, Christopher G. Tarolli, Saloni Sharma, E. Ray Dorsey, Gaurav Sharma
Publikováno v:
npj Parkinson's Disease, Vol 7, Iss 1, Pp 1-8 (2021)
Abstract Most wearable sensor studies in Parkinson’s disease have been conducted in the clinic and thus may not be a true representation of everyday symptoms and symptom variation. Our goal was to measure activity, gait, and tremor using wearable s
Externí odkaz:
https://doaj.org/article/1c6f0d96b2ef49ff8d88adc23e47d3cb
Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-4 (2021)
Abstract A prevalent symptom of Parkinson’s disease (PD) is hypomimia — reduced facial expressions. In this paper, we present a method for diagnosing PD that utilizes the study of micro-expressions. We analyzed the facial action units (AU) from 1
Externí odkaz:
https://doaj.org/article/614daa2b2e2d48b09ec72bffcfe173ac