Zobrazeno 1 - 10
of 390
pro vyhledávání: '"S C, Shih"'
Autor:
Hung-Chih Chen, Yen-Wen Liu, Kuan-Cheng Chang, Yen-Wen Wu, Yi-Ming Chen, Yu-Kai Chao, Min-Yi You, David J. Lundy, Chen-Ju Lin, Marvin L. Hsieh, Yu-Che Cheng, Ray P. Prajnamitra, Po-Ju Lin, Shu-Chian Ruan, David Hsin-Kuang Chen, Edward S. C. Shih, Ke-Wei Chen, Shih-Sheng Chang, Cindy M. C. Chang, Riley Puntney, Amy Wu Moy, Yuan-Yuan Cheng, Hsin-Yuan Chien, Jia-Jung Lee, Deng-Chyang Wu, Ming-Jing Hwang, Jennifer Coonen, Timothy A. Hacker, C-L. Eric Yen, Federico E. Rey, Timothy J. Kamp, Patrick C. H. Hsieh
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract The gut microbiome and its metabolites are increasingly implicated in several cardiovascular diseases, but their role in human myocardial infarction (MI) injury responses have yet to be established. To address this, we examined stool samples
Externí odkaz:
https://doaj.org/article/6361bc3495944b3fb58bc006af3e56af
Autor:
Ke-Wei Chen, Yu-Chen Wang, Meng-Hsuan Liu, Being-Yuah Tsai, Mei-Yao Wu, Po-Hsin Hsieh, Jung-Ting Wei, Edward S. C. Shih, Yi-Tzone Shiao, Ming-Jing Hwang, Ya-Lun Wu, Kai-Cheng Hsu, Kuan-Cheng Chang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Externí odkaz:
https://doaj.org/article/433da6762eac451db1edef0be0997e36
Autor:
Ke-Wei Chen, Yu-Chen Wang, Meng-Hsuan Liu, Being-Yuah Tsai, Mei-Yao Wu, Po-Hsin Hsieh, Jung-Ting Wei, Edward S. C. Shih, Yi-Tzone Shiao, Ming-Jing Hwang, Ya-Lun Wu, Kai-Cheng Hsu, Kuan-Cheng Chang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
ObjectiveTo implement an all-day online artificial intelligence (AI)-assisted detection of ST-elevation myocardial infarction (STEMI) by prehospital 12-lead electrocardiograms (ECGs) to facilitate patient triage for timely reperfusion therapy.Methods
Externí odkaz:
https://doaj.org/article/7879217608ee426c81571a142681776d
Autor:
Edward S. C. Shih, Ming-Jing Hwang
Publikováno v:
Biology, Vol 4, Iss 2, Pp 282-297 (2015)
Protein-protein docking (PPD) predictions usually rely on the use of a scoring function to rank docking models generated by exhaustive sampling. To rank good models higher than bad ones, a large number of scoring functions have been developed and eva
Externí odkaz:
https://doaj.org/article/0d01704b3b8146a2969244eefc578693
Autor:
Yu-Chen Wang, Po-Hsin Hsieh, Wan-Ting Lin, Ming-Jing Hwang, Mei-Yao Wu, Jung-Ting Wei, Edward S. C. Shih, Kuan-Cheng Chang, Wan-Ying Lin, Kuan-Jung Lee, Ti-Hao Wang
Publikováno v:
European Heart Journal - Digital Health. 2:299-310
Aims To develop an artificial intelligence-based approach with multi-labelling capability to identify both ST-elevation myocardial infarction (STEMI) and 12 heart rhythms based on 12-lead electrocardiograms (ECGs). Methods and results We trained, val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c478a2709bf3f44766d236a4fd6527c5
https://doi.org/10.1093/ehjdh/ztab029
https://doi.org/10.1093/ehjdh/ztab029
Autor:
Yu-Chen Wang, Jan-Yow Chen, Ming-Jing Hwang, Po-Hsin Hsieh, Mei-Yao Wu, Tzung-Chi Huang, Fuu Jen Tsai, Kuan-Cheng Chang, Edward S. C. Shih
Publikováno v:
Canadian Journal of Cardiology. 37:94-104
Background Deep-learning algorithms to annotate electrocardiograms (ECGs) and classify different types of cardiac arrhythmias with the use of a single-lead ECG input data set have been developed. It remains to be determined whether these algorithms c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4041646d6305f4d69f786d4dfb5d9e1
https://doi.org/10.1016/j.cjca.2020.02.096
https://doi.org/10.1016/j.cjca.2020.02.096
Autor:
Wu, Y. (Yao), Li, S. (Shanshan), Zhao, Q. (Qi), Wen, B. (Bo), Gasparrini, A. (Antonio), Tong, S. (Shilu), Overcenco, A. (Ala), Urban, A. (Ales), Schneider, A. (Alexandra), Entezari, A. (Alireza), Vicedo-Cabrera, A. M. (Ana Maria), Zanobetti, A. (Antonella), Analitis, A. (Antonis), Zeka, A. (Ariana), Tobias, A. (Aurelio), Nunes, B. (Baltazar), Alahmad, B. (Barrak), Armstrong, B. (Ben), Forsberg, B. (Bertil), Pan, S.-C. (Shih-Chun), Iniguez, C. (Carmen), Ameling, C. (Caroline), De la Cruz Valencia, C. (Cesar), Astrom, C. (Christofer), Houthuijs, D. (Danny), Roye, D. (Dominic), Indermitte, E. (Ene), Lavigne, E. (Eric), Mayvaneh, F. (Fatemeh), Acquaotta, F. (Fiorella), De'Donato, F. (Francesca), Rao, S. (Shilpa), Sera, F. (Francesco), Carrasco-Escobar, G. (Gabriel), Kan, H. (Haidong), Orru, H. (Hans), Kim, H. (Ho), Holobaca, I.-H. (Iulian-Horia), Kysely, J. (Jan), Madureira, J. (Joana), Schwartz, J. (Joel), Jaakkola, J. J. (Jouni J. K.), Katsouyanni, K. (Klea), Diaz, M. H. (Magali Hurtado), Ragettli, M. S. (Martina S.), Hashizume, M. (Masahiro), Pascal, M. (Mathilde), Zanotti Stagliorio Coelho, M. d. (Micheline de Sousa), Ortega, N. V. (Nicolas Valdes), Ryti, N. (Niilo), Scovronick, N. (Noah), Michelozzi, P. (Paola), Correa, P. M. (Patricia Matus), Goodman, P. (Patrick), Nascimento Saldiva, P. H. (Paulo Hilario), Abrutzky, R. (Rosana), Osorio, S. (Samuel), Colistro, V. (Valentina), Huber, V. (Veronika), Lee, W. (Whanhee), Seposo, X. (Xerxes), Honda, Y. (Yasushi), Guo, Y. L. (Yue Leon), Bell, M. L. (Michelle L.), Guo, Y. (Yuming)
Background: Increased mortality risk is associated with short-term temperature variability: However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::db987a89369dae4a7037ecb940d04b76
http://urn.fi/urn:nbn:fi-fe2022102162690
http://urn.fi/urn:nbn:fi-fe2022102162690
Akademický článek
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Autor:
Meng, X. (Xia), Liu, C. (Cong), Chen, R. (Renjie), Sera, F. (Francesco), Vicedo-Cabrera, A. M. (Ana Maria), Milojevic, A. (Ai), Guo, Y. (Yuming), Tong, S. (Shilu), Coelho, M. d. (Micheline de Sousa Zanotti Stagliorio), Saldiva, P. H. (Paulo Hilario Nascimento), Lavigne, E. (Eric), Correa, P. M. (Patricia Matus), Ortega, N. V. (Nicolas Valdes), Garcia, S. O. (Samuel Osorio), Kysely, J. (Jan), Urban, A. (Ales), Orru, H. (Hans), Maasikmets, M. (Marek), Jaakkola, J. J. (Jouni J. K.), Ryti, N. (Niilo), Huber, V. (Veronika), Schneider, A. (Alexandra), Katsouyanni, K. (Klea), Analitis, A. (Antonis), Hashizume, M. (Masahiro), Honda, Y. (Yasushi), Ng, C. F. (Chris Fook Sheng), Nunes, B. (Baltazar), Teixeira, J. P. (Joao Paulo), Holobaca, I. H. (Iulian Horia), Fratianni, S. (Simona), Kim, H. (Ho), Tobias, A. (Aurelio), Iniguez, C. (Carmen), Forsberg, B. (Bertil), Astrom, C. (Christofer), Ragettli, M. S. (Martina S.), Guo, Y. L. (Yue-Liang Leon), Pan, S.-C. (Shih-Chun), Li, S. (Shanshan), Bell, M. L. (Michelle L.), Zanobetti, A. (Antonella), Schwartz, J. (Joel), Wu, T. (Tangchun), Gasparrini, A. (Antonio), Kan, H. (Haidong)
Objective: To evaluate the short term associations between nitrogen dioxide (NO₂) and total, cardiovascular, and respiratory mortality across multiple countries/regions worldwide, using a uniform analytical protocol. Design: Two stage, time series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::dfac06a9d943a42f52f6e9435cdbc545
http://urn.fi/urn:nbn:fi-fe2021051930600
http://urn.fi/urn:nbn:fi-fe2021051930600
Publikováno v:
PLoS ONE, Vol 6, Iss 12, p e29314 (2011)
Housekeeping (HK) genes fulfill the basic needs for a cell to survive and function properly. Their ubiquitous expression, originally thought to be constant, can vary from tissue to tissue, but this variation remains largely uncharacterized and it cou
Externí odkaz:
https://doaj.org/article/2f89170ed47a4ae3838fa17138d98b9e