Showing 1 - 7 results of 7 for search 'Mechelle M Lewis', query time: 0.03s
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1
Dose-Dependent Regulation on Prefrontal Neuronal Working Memory by Dopamine D1 Agonists: Evidence of Receptor Functional Selectivity-Related Mechanisms by Yang Yang, Yang Yang, Susan D. Kocher, Mechelle M. Lewis, Mechelle M. Lewis, Mechelle M. Lewis, Richard B. Mailman, Richard B. Mailman, Richard B. Mailman
Published 2022-06-01
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2
Circulating Cholesterol Levels May Link to the Factors Influencing Parkinson’s Risk by Lijun Zhang, Xue Wang, Ming Wang, Nick W. Sterling, Guangwei Du, Mechelle M. Lewis, Mechelle M. Lewis, Tao Yao, Richard B. Mailman, Richard B. Mailman, Runze Li, Xuemei Huang, Xuemei Huang, Xuemei Huang, Xuemei Huang, Xuemei Huang
Published 2017-09-01
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3
Neuronally enriched microvesicle RNAs are differentially expressed in the serums of Parkinson’s patients by Morris A. Aguilar, Morris A. Aguilar, Shauna Ebanks, Havell Markus, Mechelle M. Lewis, Mechelle M. Lewis, Vishal Midya, Kent Vrana, Xuemei Huang, Xuemei Huang, Molly A. Hall, Molly A. Hall, Yuka Imamura Kawasawa, Yuka Imamura Kawasawa, Yuka Imamura Kawasawa
Published 2023-07-01
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4
Serum cholesterol and nigrostriatal R2* values in Parkinson's disease. by Guangwei Du, Mechelle M Lewis, Michele L Shaffer, Honglei Chen, Qing X Yang, Richard B Mailman, Xuemei Huang
Published 2012-01-01
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5
Predicting the multi-domain progression of Parkinson’s disease: a Bayesian multivariate generalized linear mixed-effect model by Ming Wang, Zheng Li, Eun Young Lee, Mechelle M. Lewis, Lijun Zhang, Nicholas W. Sterling, Daymond Wagner, Paul Eslinger, Guangwei Du, Xuemei Huang
Published 2017-09-01
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6
Dopamine D<sub>1</sub> Agonists: First Potential Treatment for Late-Stage Parkinson’s Disease by Mechelle M. Lewis, Lauren J. Van Scoy, Sol De Jesus, Jonathan G. Hakun, Paul J. Eslinger, Julio Fernandez-Mendoza, Lan Kong, Yang Yang, Bethany L. Snyder, Natalia Loktionova, Sridhar Duvvuri, David L. Gray, Xuemei Huang, Richard B. Mailman
Published 2023-05-01
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Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study by Derek B Archer, PhD, Justin T Bricker, MS, Winston T Chu, BS, Roxana G Burciu, PhD, Johanna L McCracken, BS, Song Lai, ProfPhD, Stephen A Coombes, PhD, Ruogu Fang, PhD, Angelos Barmpoutis, PhD, Daniel M Corcos, PhD, Ajay S Kurani, PhD, Trina Mitchell, MS, Mieniecia L Black, MPH, Ellen Herschel, BS, Tanya Simuni, ProfMD, Todd B Parrish, ProfPhD, Cynthia Comella, ProfMD, Tao Xie, MD, Klaus Seppi, ProfMD, Nicolaas I Bohnen, ProfMD, Martijn LTM Müller, PhD, Roger L Albin, ProfMD, Florian Krismer, MD, Guangwei Du, MD, Mechelle M Lewis, PhD, Xuemei Huang, ProfMD, Hong Li, PhD, Ofer Pasternak, PhD, Nikolaus R McFarland, MD, Michael S Okun, ProfMD, David E Vaillancourt, ProfPhD
Published 2019-09-01
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