Výsledky vyhledávání - "Karen J. Chandross"

Akademický článek

Disease progression strikingly differs in research and real-world Parkinson’s populations

Autor: Brett K. Beaulieu-Jones, Francesca Frau, Sylvie Bozzi, Karen J. Chandross, M. Judith Peterschmitt, Caroline Cohen, Catherine Coulovrat, Dinesh Kumar, Mark J. Kruger, Scott L. Lipnick, Lane Fitzsimmons, Isaac S. Kohane, Clemens R. Scherzer

Publikováno v: npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-11 (2024)

Abstract Characterization of Parkinson’s disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations. Efforts to curate research populations, the increasing availability of real-world data, and a

Externí odkaz: https://doaj.org/article/5b1ab7fff87c4cc3824c3db7cf2721f4

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Akademický článek

Accelerating diagnosis of Parkinson’s disease through risk prediction

Autor: William Yuan, Brett Beaulieu-Jones, Richard Krolewski, Nathan Palmer, Christine Veyrat-Follet, Francesca Frau, Caroline Cohen, Sylvie Bozzi, Meaghan Cogswell, Dinesh Kumar, Catherine Coulouvrat, Bruno Leroy, Tanya Z. Fischer, S. Pablo Sardi, Karen J. Chandross, Lee L. Rubin, Anne-Marie Wills, Isaac Kohane, Scott L. Lipnick

Publikováno v: BMC Neurology, Vol 21, Iss 1, Pp 1-12 (2021)

Abstract Background Characterization of prediagnostic Parkinson’s Disease (PD) and early prediction of subsequent development are critical for preventive interventions, risk stratification and understanding of disease pathology. This study aims to

Externí odkaz: https://doaj.org/article/9e6364d125584b15943a54481769b978

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Akademický článek

Transporting observational study results to a target population of interest using inverse odds of participation weighting

Autor: Albee Y. Ling, Rana Jreich, Maria E. Montez-Rath, Zhaoling Meng, Kris Kapphahn, Karen J. Chandross, Manisha Desai

Publikováno v: PLoS ONE, Vol 17, Iss 12 (2022)

Inverse odds of participation weighting (IOPW) has been proposed to transport clinical trial findings to target populations of interest when the distribution of treatment effect modifiers differs between trial and target populations. We set out to ap

Externí odkaz: https://doaj.org/article/ca9b9c82fd60403faad2e780281f55f6

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Akademický článek

In Vivo Optical Imaging of Myelination Events in a Myelin Basic Protein Promoter-Driven Luciferase Transgenic Mouse Model

Autor: James Cao, Yanping Hu, Mohammed Salman Shazeeb, Carlos E. Pedraza, Nilesh Pande, Daniel Weinstock, Gregory H. Polites, Wenfei Zhang, Karen J. Chandross, Xiaoyou Ying

Publikováno v: ASN Neuro, Vol 10 (2018)

The compact myelin sheath is important for axonal function, and its loss can lead to neuronal cell death and irreversible functional deficits. Myelin is vulnerable to a variety of metabolic, toxic, and autoimmune insults. In diseases like multiple sc

Externí odkaz: https://doaj.org/article/6173b97272c644718a85024e5ff73aa8

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An Overview of Current Methods for Real-World Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest

Autor: Albee Y. Ling, Maria E. Montez-Rath, Paulo Carita, Karen J. Chandross, Laurence Lucats, Zhaoling Meng, Bernard Sebastien, Kris Kapphahn, Manisha Desai

Publikováno v: Epidemiology.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b02e60e18440b81828a913928791bc6
https://doi.org/10.1097/ede.0000000000001633

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Technology-Enabled Clinical Trials

Publikováno v: Circulation. 140:1426-1436

The complexity and costs associated with traditional randomized, controlled trials have increased exponentially over time, and now threaten to stifle the development of new drugs and devices. Nevertheless, the growing use of electronic health records

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c8712e78b0d3035c5658a468552783
https://doi.org/10.1161/circulationaha.119.040798

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Accelerating diagnosis of Parkinson’s disease through risk prediction

Autor: Brett K. Beaulieu-Jones, William Yuan, Bruno Leroy, Lee L. Rubin, Tanya Fischer, Nathan Palmer, Scott Lipnick, Catherine Coulouvrat, Karen J. Chandross, Caroline Cohen, Anne-Marie Wills, Richard C. Krolewski, Francesca Frau, Sylvie Bozzi, Isaac S. Kohane, Christine Veyrat-Follet, Dinesh Kumar, Meaghan Cogswell, S. Pablo Sardi

Publikováno v: BMC Neurology, Vol 21, Iss 1, Pp 1-12 (2021)
BMC Neurology

Background Characterization of prediagnostic Parkinson’s Disease (PD) and early prediction of subsequent development are critical for preventive interventions, risk stratification and understanding of disease pathology. This study aims to character

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c31070d9c1213331dba8ed3d5fead7a
https://doi.org/10.1186/s12883-021-02226-4

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Calibration and Uncertainty in Neural Time-to-Event Modeling

Autor: Chunyuan Li, Irfan Khan, Karen J. Chandross, Paidamoyo Chapfuwa, Michael J. Pencina, Ricardo Henao, Lawrence Carin, Chenyang Tao

Publikováno v: IEEE Trans Neural Netw Learn Syst

Models for predicting the time of a future event are crucial for risk assessment, across a diverse range of applications. Existing time-to-event (survival) models have focused primarily on preserving pairwise ordering of estimated event times, or rel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e8792cb1c6bb01da6a1d8d16ef4d70
https://pubmed.ncbi.nlm.nih.gov/33119513

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