Zobrazeno 1 - 10
of 882 291
pro vyhledávání: '"Alerts"'
Autor:
Li Jin1, Huan Fang2, Jie Shen1, Zhigao He1 zhigaohe@hotmail.com, Yi Li3 liyi_1313@126.com, Liang Dong4, Jiali Feng5, Tetsuya Asakawa6 asakawat1971@gmail.com
Publikováno v:
Drug Discoveries & Therapeutics. Apr2024, Vol. 18 Issue 2, p89-97. 9p.
Autor:
Alcoceba-Herrero, Irene1,2 (AUTHOR) irene.alcoceba@uva.es, Coco-Martín, María Begoña1 (AUTHOR) luis.leal@uva.es, Jiménez-Pérez, José María2 (AUTHOR), Leal-Vega, Luis1 (AUTHOR) adrian.martin.gutierrez@uva.es, Martín-Gutiérrez, Adrián1 (AUTHOR) jfarenillas@saludcastillayleon.es, Dueñas-Gutiérrez, Carlos3 (AUTHOR) jduenas@saludcastillayleon.es, Miramontes-González, José Pablo4 (AUTHOR) jpmiramontes@saludcastillayleon.es, Corral-Gudino, Luis4 (AUTHOR) lcorral@saludcastillayleon.es, de Castro-Rodríguez, Flor5 (AUTHOR) fcastro@saludcastillayleon.es, Royuela-Ruiz, Pablo6 (AUTHOR) proyuelar@saludcastillayleon.es, Arenillas-Lara, Juan Francisco1,7 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Oct2024, Vol. 13 Issue 19, p5974. 12p.
Autor:
Fu, Zhangning1 (AUTHOR), Hao, Xiuzhen2 (AUTHOR), Lv, Yangfan3 (AUTHOR), Hong, Quan1 (AUTHOR), Feng, Zhe1 (AUTHOR) zhezhe_4025@126.com, Liu, Chao4 (AUTHOR) chaoliu301@foxmail.com
Publikováno v:
BMC Medicine. 9/20/2024, Vol. 22 Issue 1, p1-10. 10p.
Publikováno v:
Bioengineering (Basel). Aug2024, Vol. 11 Issue 8, p846. 15p.
Autor:
Chan, Man Leong, McIver, Jess, Mahabal, Ashish, Messick, Cody, Haggard, Daryl, Raza, Nayyer, Lecoeuche, Yannick, Sutton, Patrick J., Ewing, Becca, Di Renzo, Francesco, Cabero, Miriam, Ng, Raymond, Coughlin, Michael W., Ghosh, Shaon, Godwin, Patrick
Electromagnetic follow-up observations of gravitational wave events offer critical insights and provide significant scientific gain from this new class of astrophysical transients. Accurate identification of gravitational wave candidates and rapid re
Externí odkaz:
http://arxiv.org/abs/2408.06491
Sepsis is a lethal syndrome of organ dysfunction that is triggered by an infection and claims 11 million lives per year globally. Prognostic algorithms based on deep learning have shown promise in detecting the onset of sepsis hours before the actual
Externí odkaz:
http://arxiv.org/abs/2408.08316
In this work, we propose a deep learning-based classification model of astronomical objects using alerts reported by the Zwicky Transient Facility (ZTF) survey. The model takes as inputs sequences of stamp images and metadata contained in each alert,
Externí odkaz:
http://arxiv.org/abs/2405.15073
Publikováno v:
Journal of Pharmaceutical Health Care and Sciences, Vol 10, Iss 1, Pp 1-6 (2024)
Abstract Background Antimicrobial agents (AMAs) are essential for treating infections. A part of AMAs chelate with metal cations (MCs), reducing their blood concentrations. That drug-drug interaction could lead to a reduction of therapeutic efficacy
Externí odkaz:
https://doaj.org/article/1f75316dd57241cd91b267360c9f3716