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2020 – today
- 2022
[j3]Roozbeh Atri
, Kevin Urban, Barbara Marebwa, Tanya Simuni, Caroline Tanner, Andrew Siderowf, Mark Frasier, Magali Haas, Lee Lancashire:
Deep Learning for Daily Monitoring of Parkinson's Disease Outside the Clinic Using Wearable Sensors. Sensors 22(18): 6831 (2022)- 2020
- [c1]Saya R. Dennis, Tanya Simuni, Yuan Luo:
A Predictive Model for Parkinson's Disease Reveals Candidate Gene Sets for Progression Subtype. BIBM 2020: 417-420
2010 – 2019
- 2019
- [j2]Jordan J. Elm, Margaret Daeschler, Lauren Bataille, Ruth B. Schneider, Amy Amara, Alberto J. Espay, Michal Afek, Chen Admati, Abeba Teklehaimanot, Tanya Simuni:
Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson's disease data. npj Digit. Medicine 2 (2019) - 2018
- [j1]Luca Lonini, Andrew Dai, Nicholas Shawen, Tanya Simuni, Cynthia Poon, Leo Shimanovich, Margaret Daeschler, Roozbeh Ghaffari, John A. Rogers, Arun Jayaraman:
Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models. npj Digit. Medicine 1 (2018)
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