Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jeongseok, Jeon"'
Autor:
Jeesoo Choi, Ho Yeon Cho, Jeongseok Jeon, Kyung-A Kim, Yoon Dae Han, Joong Bae Ahn, Inbal Wortzel, David Lyden, Han Sang Kim
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundExtracellular vesicles secreted by tumor cells contain double-stranded DNA called extracellular vesicle DNA (evDNA). EvDNA is genomic DNA that reflects cancer driver mutations. However, the significance of evDNA analysis in the diagnosis an
Externí odkaz:
https://doaj.org/article/e0d5361c710047c7a8e695ce26f64768
Autor:
Jeongseok Jeon, Da Bin Lee, Sang Joon Shin, Dai Hoon Han, Jee Suk Chang, Yoon Dae Han, Hyunwook Kim, Joon Seok Lim, Han Sang Kim, Joong Bae Ahn
Publikováno v:
Clinical Colorectal Cancer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed2cc08e580010fd2f2a6370ec851b79
https://doi.org/10.1016/j.clcc.2023.05.003
https://doi.org/10.1016/j.clcc.2023.05.003
Autor:
Jeesoo, Choi, Ho Yeon, Cho, Jeongseok, Jeon, Kyung-A, Kim, Yoon Dae, Han, Joong Bae, Ahn, Inbal, Wortzel, David, Lyden, Han Sang, Kim
Publikováno v:
Frontiers in oncology. 12
Extracellular vesicles secreted by tumor cells contain double-stranded DNA called extracellular vesicle DNA (evDNA). EvDNA is genomic DNA that reflects cancer driver mutations. However, the significance of evDNA analysis in the diagnosis and surveill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6dcb4b604970167b9a29eacc9541257d
https://pubmed.ncbi.nlm.nih.gov/36591510
https://pubmed.ncbi.nlm.nih.gov/36591510
Autor:
Ryoung-Eun Ko, Jaehyeong Cho, Min-Kyue Shin, Sung Woo Oh, Yeonchan Seong, Jeongseok Jeon, Kyeongman Jeon, Soonmyung Paik, Joon Seok Lim, Sang Joon Shin, Joong Bae Ahn, Jong Hyuck Park, Seng Chan You, Han Sang Kim
Publikováno v:
Cancers
Volume 15
Issue 3
Pages: 569
Volume 15
Issue 3
Pages: 569
Background: Although cancer patients are increasingly admitted to the intensive care unit (ICU) for cancer- or treatment-related complications, improved mortality prediction remains a big challenge. This study describes a new ML-based mortality predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bd513e34fe211642e1a30573742ba73
https://doi.org/10.3390/cancers15030569
https://doi.org/10.3390/cancers15030569
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