Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hsiang-Han Chen"'
Autor:
Alejandro Cisterna-García, Aleksandra Beric, Muhammad Ali, Jose Adrian Pardo, Hsiang-Han Chen, Maria Victoria Fernandez, Joanne Norton, Jen Gentsch, Kristy Bergmann, John Budde, Joel S. Perlmutter, John C. Morris, Carlos Cruchaga, Juan A. Botia, Laura Ibanez
Publikováno v:
iScience, Vol 26, Iss 12, Pp 108534- (2023)
Summary: There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer’s disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarke
Externí odkaz:
https://doaj.org/article/c673195ebc334bbf8769a800749ab69e
Autor:
Hsiang-Han Chen, Abdallah Eteleeb, Ciyang Wang, Maria Victoria Fernandez, John P. Budde, Kristy Bergmann, Joanne Norton, Fengxian Wang, Curtis Ebl, John C. Morris, Richard J. Perrin, Randall J. Bateman, Eric McDade, Chengjie Xiong, Alison Goate, Martin Farlow, Jasmeer Chhatwal, Peter R. Schofield, Helena Chui, Oscar Harari, Carlos Cruchaga, Laura Ibanez, Dominantly Inherited Alzheimer Network
Publikováno v:
Acta Neuropathologica Communications, Vol 10, Iss 1, Pp 1-11 (2022)
Abstract Background Autosomal-dominant Alzheimer's disease (ADAD) is caused by pathogenic mutations in APP, PSEN1, and PSEN2, which usually lead to an early age at onset (
Externí odkaz:
https://doaj.org/article/bf883b27c2594839a9332c5dd57be351
Publikováno v:
Brain Sciences, Vol 11, Iss 12, p 1554 (2021)
We describe a novel system for online prediction of lead seizures from long-term intracranial electroencephalogram (iEEG) recordings for canines with naturally occurring epilepsy. This study adopts new specification of lead seizures, reflecting stron
Externí odkaz:
https://doaj.org/article/952f655d1a0542e69136708a4ef23c50
Autor:
Hsiang-Han Chen, 陳翔瀚
99
Using unmodified / unpolished / no-pretreatment platinum as electrode, the two-step pulsed amperometric method was used for the quantitative determination of the concentration of free available chlorine (FAC) in a non-flow condition. Subject
Using unmodified / unpolished / no-pretreatment platinum as electrode, the two-step pulsed amperometric method was used for the quantitative determination of the concentration of free available chlorine (FAC) in a non-flow condition. Subject
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/18394023261324066364
Autor:
Vladimir Cherkassky, Hsiang Han Chen
Publikováno v:
Neural Netw
Many recent studies on online seizure prediction from iEEG signal describe various prediction algorithms and their prediction performance. In contrast, this paper focuses on proper specification of system parameters, such as prediction period, predic
Publikováno v:
Brain Sciences, Vol 11, Iss 1554, p 1554 (2021)
Brain Sciences
Brain Sciences; Volume 11; Issue 12; Pages: 1554
Brain Sciences
Brain Sciences; Volume 11; Issue 12; Pages: 1554
We describe a novel system for online prediction of lead seizures from long-term intracranial electroencephalogram (iEEG) recordings for canines with naturally occurring epilepsy. This study adopts new specification of lead seizures, reflecting stron
Autor:
Kristy Bergmann, Hsiang-Han Chen, Alison Goate, Oscar Harari, Laura Ibanez, Curtis Ebl, Abdallah M. Eteleeb, Joanne Norton, John P. Budde, Richard J. Perrin, Jasmeer P. Chhatwal, Maria Victoria Fernandez, Eric McDade, Martin R. Farlow, Ciyang Wang, Helena C. Chui, Fengxian Wang, Peter R. Schofield, Chengjie Xiong, John C. Morris, Carlos Cruchaga, Randall J. Bateman
BackgroundAutosomal-dominant Alzheimer’s disease (ADAD) is caused by pathogenic mutations in APP, PSEN1, and PSEN2, which usually lead to an early age at onset (MethodsWe obtained and sequenced RNA from brain cortex using standard protocols. Linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5103b4d15b30d2afabef82e4f03800
https://doi.org/10.1101/2021.10.29.21265617
https://doi.org/10.1101/2021.10.29.21265617
Publikováno v:
IJCNN
We describe new methodology for supervised learning with sparse data, i.e., when the number of input features is (much) larger than the number of training samples (n). Under the proposed approach, all available (d) input features are split into sever
Publikováno v:
Communication & Networking: International Conference, Fgcn 2010, Held as Part of the Future Generation Information Technology Conference, Fgit 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings, Part I; 2010, p46-55, 10p