Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xiang-Jun Fu"'
Publikováno v:
World Journal of Clinical Cases. 10:10779-10786
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f49834b2be0e4ffd4750957b08be6524
https://doi.org/10.12998/wjcc.v10.i29.10779
https://doi.org/10.12998/wjcc.v10.i29.10779
Publikováno v:
World Journal of Clinical Cases
BACKGROUND Multiple primary cancer refers to more than one synchronous or sequential cancer in the same individual. Multiple primary cancer always presents as solid cancer or acute myeloid leukemia (AML) secondary to lymphoma. Here, we report a rare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::874314c6d3f4cca06d63b0e30ee840d1
https://doi.org/10.12998/wjcc.v9.i24.7237
https://doi.org/10.12998/wjcc.v9.i24.7237
Publikováno v:
Zhongguo shi yan xue ye xue za zhi. 28(1)
To study the expression level of TGFβ1 and VEGF gene in patients with acute myeloid leukemia (AML) and its clinical prognostic value.Seventy-eight AML patients treated in our hospital from July 2016 to September 2018 were selected. After isolation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b57cc4c25d7db3336a2fc3b00eddbd6b
https://pubmed.ncbi.nlm.nih.gov/32027265
https://pubmed.ncbi.nlm.nih.gov/32027265
Publikováno v:
PeerJ
PeerJ, Vol 9, p e11968 (2021)
PeerJ, Vol 9, p e11968 (2021)
Background Acute myeloid leukemia (AML) is one of the most common blood cancers, and is characterized by impaired hematopoietic function and bone marrow (BM) failure. Under normal circumstances, autophagy may suppress tumorigenesis, however under the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27b7241287aa66bca368e02ee194da92
https://doi.org/10.7717/peerj.11968
https://doi.org/10.7717/peerj.11968
Publikováno v:
Journal of Inorganic Materials. 24:962-966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7548daf2c209460b905bf6e4dfd835d
https://doi.org/10.3724/sp.j.1077.2009.00962
https://doi.org/10.3724/sp.j.1077.2009.00962
Publikováno v:
Journal of Inorganic Materials. 24:387-391
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2e0a5e52f9776d08419b04fff2e8138
https://doi.org/10.3724/sp.j.1077.2009.00387
https://doi.org/10.3724/sp.j.1077.2009.00387
Autor:
Hong-Xia, Yao, Li, Huang, Li-E, Lin, Cong-Ming, Wu, Hua, Wang, Wen-Ting, Chen, Xiang-Jun, Fu, Yi-Peng, Ding
Publikováno v:
Zhonghua yi xue za zhi. 90(4)
To observe the influence of the plasma thromboxane B2 (TXB2), 6-keto-PGF1alpha, CD62P and PAC-1 and Thrombus in patients with primary thrombocytosis (ET). To observe the effect of sodium ozagrel to prevent and treat thrombosis in patients with ET.The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4fbde4eac2221131e024010341433281
https://pubmed.ncbi.nlm.nih.gov/20356540
https://pubmed.ncbi.nlm.nih.gov/20356540
Publikováno v:
Advances in Machine Learning and Cybernetics ISBN: 9783540335849
ICMLC
ICMLC
This research article demonstrates the use of a constraints network for modeling the knowledge which is necessary for concurrent product design. A Knowledge-based Constraints Network System (KCNS) has been developed to maintain design consistency and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb9ba37833937da6bb22fd90c22ffb19
https://doi.org/10.1007/11739685_28
https://doi.org/10.1007/11739685_28
Publikováno v:
Zhonghua er bi yan hou ke za zhi. 39(12)
To study the incidence, clinical features and related factors of nasosinusitis after radiotherapy for nasopharyngeal carcinoma.Five hundred and thirteen patients with nasopharyngeal carcinoma were included in the study, to observe the clinical manife
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8cb9b58bb094c1c6728e91956f2d96a7
https://pubmed.ncbi.nlm.nih.gov/15813015
https://pubmed.ncbi.nlm.nih.gov/15813015
Autor:
Yeung, Daniel S., Zhi-Qiang Liu, Xi-Zhao Wang, Hong Yan, Wei-ming Wang, Jie Hu, Fei Zhou, Da-yong Li, Xiang-jun Fu, Ying-hong Peng
Publikováno v:
Advances in Machine Learning & Cybernetics; 2006, p268-277, 10p