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2024 연구성과별 연구자 정보 (558 / 2344)
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| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Desing and method of Korean pEdiatric cohort studY for improving outcome in NephrOTic syndrome (KEYNOTE): a nationwide prospective cohort | Choi, Naye | Choi, N | 9 | Korea Univ Hosp, Dept Pediat, Seoul, South Korea | KCL-4467-2024 | CHOI, NAYE | ||||
| Desing and method of Korean pEdiatric cohort studY for improving outcome in NephrOTic syndrome (KEYNOTE): a nationwide prospective cohort | Lee, Hyun Kyung | Lee, HK | 10 | Chungang Univ Hosp, Dept Pediat, Seoul, South Korea | ||||||
| Desing and method of Korean pEdiatric cohort studY for improving outcome in NephrOTic syndrome (KEYNOTE): a nationwide prospective cohort | Kang, Hee Gyung | Kang, HG | 11 | Seoul Natl Univ, Childrens Hosp, Dept Pediat, Seoul, South Korea | ||||||
| Desing and method of Korean pEdiatric cohort studY for improving outcome in NephrOTic syndrome (KEYNOTE): a nationwide prospective cohort | Yang, Eun Mi | Yang, EM | 12 | Chonnam Natl Univ Hosp, Dept Pediat, Gwangju, South Korea | ||||||
| Detection of COVID-19 epidemic outbreak using machine learning | Cho, Giphil | Cho, G | 1 | Kangwon Natl Univ, Dept Artificial Intelligence & Software, Samcheok Si, South Korea | hjlee@knu.ac.kr; | |||||
| Detection of COVID-19 epidemic outbreak using machine learning | Park, Jeong Rye | Park, JR | 2 | Kyungpook Natl Univ, Dept Math, Daegu, South Korea | MDS-8129-2025 | Park, Jeong Rye | hjlee@knu.ac.kr; | |||
| Detection of COVID-19 epidemic outbreak using machine learning | Choi, Yongin | Choi, Y | 3 | Natl Inst Math Sci, Busan Ctr Med Math, Daejeon, South Korea | hjlee@knu.ac.kr; | |||||
| Detection of COVID-19 epidemic outbreak using machine learning | Ahn, Hyeonjeong | Ahn, H | 4 | Kyungpook Natl Univ, Dept Stat, Daegu, South Korea | hjlee@knu.ac.kr; | |||||
| Detection of COVID-19 epidemic outbreak using machine learning | Lee, Hyojung | Lee, H | 5 | 교신저자 | Kyungpook Natl Univ, Dept Stat, Daegu, South Korea | hjlee@knu.ac.kr; | ||||
| Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine | Park, Jieun | Park, J | 1 | Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Mol Med & Biopharmaceut Sci, Seoul, South Korea | 0000-0002-0741-9563 | PARK, Jieun | ylachoi@skku.edu; | |||
| Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine | Lee, Boram | Lee, B | 2 | Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Pathol & Translat Genom, Irwon Ro 81, Seoul 06351, South Korea | ylachoi@skku.edu; | |||||
| Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine | Song, Ji-Young | Song, JY | 3 | Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Lab Mol Pathol & Theranost, Seoul, South Korea | ylachoi@skku.edu; | |||||
| Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine | Sung, Minjung | Sung, MJ | 4 | Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Lab Mol Pathol & Theranost, Seoul, South Korea | ylachoi@skku.edu; | |||||
| Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine | Sung, Minjung | Sung, MJ | 4 | Kyungpook Natl Univ, Coll Pharm, Vessel Organ Interact Res Ctr MRC, Daegu, South Korea | ylachoi@skku.edu; | |||||
| Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine | Sung, Minjung | Sung, MJ | 4 | Kyungpook Natl Univ, BK21 FOUR Community Based Intelligent Novel Drug D, Coll Pharm, Daegu, South Korea | ylachoi@skku.edu; |
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