Zobrazeno 1 - 10
of 985
pro vyhledávání: '"Seo‐In Choi"'
Publikováno v:
Veterinary Medicine and Science, Vol 8, Iss 3, Pp 966-981 (2022)
Abstract Background The use of fenbendazole (FBZ) in terminal cancer patients has recently increased, as anthelminthic drugs, such as FBZ and benzimidazole, exhibit anti‐tubulin effects in tumour cells. Objectives The present study evaluated the in
Externí odkaz:
https://doaj.org/article/951bc0c7b05d4e67a9e7d6d541eb08a1
Autor:
Suk-Kyu Koh, Jong-Woo Jeong, Seo-In Choi, Rae Man Kim, Tae-Sung Koo, Kwan Hyung Cho, Kyoung-Won Seo
Publikováno v:
BMC Veterinary Research, Vol 17, Iss 1, Pp 1-11 (2021)
Abstract Background Furosemide, a diuretic that acts on the loop of Henle, is commonly used to treat congestive heart failure in veterinary medicine. Some owners have difficulty in administering oral tablet medication to animal patients, which leads
Externí odkaz:
https://doaj.org/article/4fc5366957894b449047b94430e89330
Autor:
Ilah Shin, Yae Won Park, Yongsik Sim, Seo Hee Choi, Sung Soo Ahn, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Rajan Jain
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-5 (2024)
Externí odkaz:
https://doaj.org/article/c719213cd6d64f2c8a856b6b3e0cd53a
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 5, Pp 960-964 (2024)
Distant metastasis to the spleen is extremely rare. To the best of our knowledge, metastasis to the accessory spleen based on pathological findings has only been reported in four patients in the English literature, including one each of ovarian can
Externí odkaz:
https://doaj.org/article/d859f9a14f5a47a6862a387149654c93
Publikováno v:
Borsa Istanbul Review, Vol 24, Iss 5, Pp 945-951 (2024)
This study explores the relationship between financial firms' environmental, social, and governance (ESG) activities and their financial stability measured by Altman's Z-score. Based on a dataset of listed financial institutions in Korea, our results
Externí odkaz:
https://doaj.org/article/6f21dd86a5e442f7ad8f816bccb25dfb
Autor:
Seo-Ree Choi, Juyong Lee, Yeo-Jin Seo, Ho-Seong Jin, Hye-Bin Ahn, Youyeon Go, Nak-Kyoon Kim, Kyoung-Seok Ryu, Joon-Hwa Lee
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Transcription factors specifically bind to their consensus sequence motifs and regulate transcription efficiency. Transcription factors are also able to non-specifically contact the phosphate backbone of DNA through electrostatic interaction
Externí odkaz:
https://doaj.org/article/20c076a887134e53bb7e7ae074559560
Autor:
Ilah Shin, Yae Won Park, Yongsik Sim, Seo Hee Choi, Sung Soo Ahn, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Rajan Jain
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract Although gliomatosis cerebri (GC) has been removed as an independent tumor type from the WHO classification, its extensive infiltrative pattern may harbor a unique biological behavior. However, the clinical implication of GC in the context o
Externí odkaz:
https://doaj.org/article/3046fbef206c449c96c57c175434649d
Autor:
Joonil Hwang, MS, Jaehee Chun, PhD, Seungryong Cho, PhD, Joo-Ho Kim, MS, Min-Seok Cho, MS, Seo Hee Choi, MD, Jin Sung Kim, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 9, Iss 10, Pp 101580- (2024)
Purpose: Herein, we developed a deep learning algorithm to improve the segmentation of the clinical target volume (CTV) on daily cone beam computed tomography (CBCT) scans in breast cancer radiation therapy. By leveraging the Intentional Deep Overfit
Externí odkaz:
https://doaj.org/article/4058f51b951a409395f20db0c98c4872
Autor:
Seo-Won Choi, Jin-Wu Nam
Publikováno v:
Experimental and Molecular Medicine, Vol 56, Iss 6, Pp 1281-1292 (2024)
Abstract Circular RNAs are an unusual class of single-stranded RNAs whose ends are covalently linked via back-splicing. Due to their versatility, the need to express circular RNAs in vivo and in vitro has increased. Efforts have been made to efficien
Externí odkaz:
https://doaj.org/article/edef67550a864e0ea0580991a3ff476f
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 48, Iss , Pp 100819- (2024)
Purpose: We aimed to develop a machine learning-based prediction model for severe radiation pneumonitis (RP) by integrating relevant clinicopathological and genetic factors, considering the associations of clinical, dosimetric parameters, and single
Externí odkaz:
https://doaj.org/article/791797c1487c4ce2bdb5186f9b8fd1ea