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Larsson Omberg

Showing results (31-40 of 52) with videos related to

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Scientific Data|October 13, 2020
Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regionsSolveig K Sieberts, Thanneer M Perumal, Minerva M Carrasquillo, et al.
Stem Cell Reports|June 14, 2016
Integrated Genomic Analysis of Diverse Induced Pluripotent Stem Cells from the Progenitor Cell Biology ConsortiumNathan Salomonis, Phillip J Dexheimer, Larsson Omberg, et al.
Nature Biotechnology|August 10, 2021
Remote smartphone monitoring of Parkinson's disease and individual response to therapyLarsson Omberg, Elias Chaibub Neto, Thanneer M Perumal, et al.
Scientific Data|February 6, 2021
Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson's diseaseGloria Vergara-Diaz, Jean-Francois Daneault, Federico Parisi, et al.
Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists|February 28, 2024
Development and Validation of a Vocabulary Measure in the Mobile ToolboxStephanie Ruth Young, Elizabeth M Dworak, Aaron J Kaat, et al.
Cell|April 7, 2018
Machine Learning Identifies Stemness Features Associated with Oncogenic DedifferentiationTathiane M Malta, Artem Sokolov, Andrew J Gentles, et al.
Journal of the International Neuropsychological Society : JINS|July 11, 2024
Mobile toolbox (MTB) remote measures of executive function and processing speed: development and validationMiriam A Novack, Stephanie Ruth Young, Elizabeth M Dworak, et al.
JMIR Research Protocols|August 27, 2025
Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational StudyAudrey Hoyt, Casey Dorney, Peggy Auinger, et al.
Scientific Data|March 29, 2017
Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivativesKenneth Daily, Shannan J Ho Sui, Lynn M Schriml, et al.
PLOS Digital Health|March 28, 2023
Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challengeSolveig K Sieberts, Henryk Borzymowski, Yuanfang Guan, et al.
Pageof 6

Showing results (31-40 of 52) with videos related to

Sort By:
Pageof 6
Scientific Data|October 13, 2020
Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regionsSolveig K Sieberts, Thanneer M Perumal, Minerva M Carrasquillo, et al.
Stem Cell Reports|June 14, 2016
Integrated Genomic Analysis of Diverse Induced Pluripotent Stem Cells from the Progenitor Cell Biology ConsortiumNathan Salomonis, Phillip J Dexheimer, Larsson Omberg, et al.
Nature Biotechnology|August 10, 2021
Remote smartphone monitoring of Parkinson's disease and individual response to therapyLarsson Omberg, Elias Chaibub Neto, Thanneer M Perumal, et al.
Scientific Data|February 6, 2021
Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson's diseaseGloria Vergara-Diaz, Jean-Francois Daneault, Federico Parisi, et al.
Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists|February 28, 2024
Development and Validation of a Vocabulary Measure in the Mobile ToolboxStephanie Ruth Young, Elizabeth M Dworak, Aaron J Kaat, et al.
Cell|April 7, 2018
Machine Learning Identifies Stemness Features Associated with Oncogenic DedifferentiationTathiane M Malta, Artem Sokolov, Andrew J Gentles, et al.
Journal of the International Neuropsychological Society : JINS|July 11, 2024
Mobile toolbox (MTB) remote measures of executive function and processing speed: development and validationMiriam A Novack, Stephanie Ruth Young, Elizabeth M Dworak, et al.
JMIR Research Protocols|August 27, 2025
Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational StudyAudrey Hoyt, Casey Dorney, Peggy Auinger, et al.
Scientific Data|March 29, 2017
Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivativesKenneth Daily, Shannan J Ho Sui, Lynn M Schriml, et al.
PLOS Digital Health|March 28, 2023
Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challengeSolveig K Sieberts, Henryk Borzymowski, Yuanfang Guan, et al.
Pageof 6