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Office
You Centered Health Neurology, PLLC
(web-based)
Rochester, NY 14608
Summary
- Dr. Michelle Burack is a neurologist in Rochester, NY. She received her PhD in Neuroscience from University of Virginia and completed her medical training at Washington University School of Medicine in St. Louis, including neurology residency and a fellowship in movement disorders and dementia. She served on faculty in the neurology department at University of Rochester for more than 10 years, including directorship of their surgical therapies program for movement disorders, before shifting gears to focus on her family. She now runs a concierge medical coaching practice with an integrative, palliative-informed approach for individuals with Parkinson's disease. She is pursuing a masters degree in Medical Humanities to further enrich her understanding of the dimensions of care that are not tractable to standard physiological tools like medications and surgery.
Education & Training
- Washington University/B-JH/SLCH ConsortiumResidency, Neurology, 2002 - 2006
- Washington University in St. Louis School of MedicineClass of 2002
Certifications & Licensure
- NY State Medical License 2007 - 2025
- American Board of Psychiatry and Neurology Neurology
Awards, Honors, & Recognition
- CMS Meaningful Use Stage 1 Certification EpicCare Ambulatory EMR, Epic Systems Corporation, 2012
Clinical Trials
- A Phase 2 Study to Evaluate the Safety and Efficacy of RM-131 in Patients With Parkinson's Disease & Chronic Constipation Start of enrollment: 2013 Sep 01
- Ambulatory Parkinson's Disease Dyskinesia Monitor for Drug Therapy Titration Start of enrollment: 2014 Jul 01
- Automated Telehealth Diagnostics for Remote Parkinson Monitoring Start of enrollment: 2014 May 01
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Publications & Presentations
PubMed
- 11 citationsDyskinesia estimation during activities of daily living using wearable motion sensors and deep recurrent networksMurtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Scientific Reports. 2021-04-12 - 13 citationsEnsemble deep model for continuous estimation of Unified Parkinson’s Disease Rating Scale IIIMurtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Biomedical Engineering Online. 2021-03-31 - 4 citationsDyskinesia Severity Estimation in Patients with Parkinson’s Disease Using Wearable Sensors and A Deep LSTM NetworkMurtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2020-07-01
Press Mentions
- Machine Learning Leads to Novel Way to Track Tremor Severity in Parkinson's PatientsOctober 30th, 2019
- Connections: Addressing Gender Disparities in Parkinson's Disease Research and TreatmentApril 26th, 2019
- NY: Parkinson’s, Cannabis, and HopeApril 25th, 2018
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