Zobrazeno 1 - 10
of 90
pro vyhledávání: '"M, McCammon"'
Autor:
Danielle L. Tomasello, Jiyoon L. Kim, Yara Khodour, Jasmine M. McCammon, Maya Mitalipova, Rudolf Jaenisch, Anthony H. Futerman, Hazel Sive
Publikováno v:
iScience, Vol 25, Iss 1, Pp 103551- (2022)
Summary: The complex 16p11.2 deletion syndrome (16pdel) is accompanied by neurological disorders, including epilepsy, autism spectrum disorder, and intellectual disability. We demonstrated that 16pdel iPSC differentiated neurons from affected people
Externí odkaz:
https://doaj.org/article/0c93a35df15045fcb96faf86b6dca524
Autor:
Kevin R. Tarlow, Daniel F. Brossart, Alexandra M. McCammon, Alexander J. Giovanetti, M. Camille Belle, Joshua Philip
Publikováno v:
Cogent Psychology, Vol 8, Iss 1 (2021)
The most common method of single-case data analysis is visual analysis, but interrater reliability among visual raters tends to be poor. A new paradigm of visual analysis is presented and tested with the goal of addressing this persistent limitation.
Externí odkaz:
https://doaj.org/article/5de384befc7745c9a18796459363d9d0
Autor:
C. Hauri, S. Danielson, A. M. P. McDonnell, R. R. Hopcroft, P. Winsor, P. Shipton, C. Lalande, K. M. Stafford, J. K. Horne, L. W. Cooper, J. M. Grebmeier, A. Mahoney, K. Maisch, M. McCammon, H. Statscewich, A. Sybrandy, T. Weingartner
Publikováno v:
Ocean Science, Vol 14, Pp 1423-1433 (2018)
Although Arctic marine ecosystems are changing rapidly, year-round monitoring is currently very limited and presents multiple challenges unique to this region. The Chukchi Ecosystem Observatory (CEO) described here uses new sensor technologies to
Externí odkaz:
https://doaj.org/article/cf5bbb1d6ff445e4ad1cbfcec6bc2fe1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Jasmine M. McCammon, Hazel Sive
Publikováno v:
Disease Models & Mechanisms, Vol 8, Iss 7, Pp 647-656 (2015)
The treatment of psychiatric disorders presents three major challenges to the research and clinical community: defining a genotype associated with a disorder, characterizing the molecular pathology of each disorder and developing new therapies. This
Externí odkaz:
https://doaj.org/article/f7d12e371be843cdba5ff8fb09593812
Publikováno v:
Disease Models & Mechanisms, Vol 5, Iss 6, Pp 834-851 (2012)
SUMMARY Deletion or duplication of one copy of the human 16p11.2 interval is tightly associated with impaired brain function, including autism spectrum disorders (ASDs), intellectual disability disorder (IDD) and other phenotypes, indicating the impo
Externí odkaz:
https://doaj.org/article/7d041fa7adde49e780961ccdf01c0ca5
Autor:
Hazel Sive, Maya Mitalipova, Jasmine M. McCammon, Yara Khodour, Anthony H. Futerman, Jiyoon L. Kim, Rudolf Jaenisch, Danielle L. Tomasello
Publikováno v:
iScience
iScience, Vol 25, Iss 1, Pp 103551-(2022)
iScience, Vol 25, Iss 1, Pp 103551-(2022)
Summary The complex 16p11.2 deletion syndrome (16pdel) is accompanied by neurological disorders, including epilepsy, autism spectrum disorder, and intellectual disability. We demonstrated that 16pdel iPSC differentiated neurons from affected people s
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Sricharan Bandhakavi, Zhipeng Liu, Heather Lavoie, Jasmine M. McCammon, Sunil Karigowda, Farbod Rahmanian
ObjectiveHealth systems rely on multiple approaches for population-level risk stratification/management. However, they can under-represent members with rising risk and complex treatment needs. To address these gaps and broaden the coverage of members
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b287b5bc670b098591863d0d9055fac0
https://doi.org/10.1101/2021.07.19.21260766
https://doi.org/10.1101/2021.07.19.21260766
ObjectivePredicting who is likely to become utilizers of specialty drugs allows care managers to have an early intervention and payers to have financial preparation for the upcoming spending. Our administrative claims-based predictive model is to pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8b839fc5a999d7c175bf59dfec3ec43
https://doi.org/10.1101/2021.06.30.21259718
https://doi.org/10.1101/2021.06.30.21259718