Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Eiichiro Uchino"'
Autor:
Minoru Sakuragi, Eiichiro Uchino, Noriaki Sato, Takeshi Matsubara, Akihiko Ueda, Yohei Mineharu, Ryosuke Kojima, Motoko Yanagita, Yasushi Okuno
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0298673 (2024)
BackgroundAcute kidney injury (AKI) is a critical complication of immune checkpoint inhibitor therapy. Since the etiology of AKI in patients undergoing cancer therapy varies, clarifying underlying causes in individual cases is critical for optimal ca
Externí odkaz:
https://doaj.org/article/d4d473ae99f74da28f675ee32222ec99
Autor:
Keiko Ikuta, Shunsaku Nakagawa, Chinami Yamawaki, Kotaro Itohara, Daiki Hira, Satoshi Imai, Atsushi Yonezawa, Takayuki Nakagawa, Minoru Sakuragi, Noriaki Sato, Eiichiro Uchino, Motoko Yanagita, Tomohiro Terada
Publikováno v:
BMC Nephrology, Vol 23, Iss 1, Pp 1-9 (2022)
Abstract Background Proton pump inhibitors (PPIs) are widely used for the treatment of gastrointestinal disorders such as peptic ulcer disease and dyspepsia. However, several studies have suggested that PPI use increases the risk of acute kidney inju
Externí odkaz:
https://doaj.org/article/4aaa4d76d61942aca573c7bb504a44c0
Autor:
Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koh Ono, Motoko Yanagita, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Here, the authors introduce a modeling framework to evaluate the actionability of treatment pathways.
Externí odkaz:
https://doaj.org/article/8121b781a8ec44169977c8ba8efbdc57
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0277260 (2022)
Commonly used prediction methods for acute myocardial infarction (AMI) were created before contemporary percutaneous coronary intervention was recognized as the primary therapy. Although several studies have used machine learning techniques for progn
Externí odkaz:
https://doaj.org/article/a5633ea99eee4bc1985aca66a8b2865d
Autor:
Erina Ono, Eiichiro Uchino, Keita P. Mori, Hideki Yokoi, Naohiro Toda, Kenichi Koga, Masato Kasahara, Takeshi Matsubara, Motoko Yanagita
Publikováno v:
Renal Replacement Therapy, Vol 4, Iss 1, Pp 1-10 (2018)
Abstract Background Peritoneal dialysis (PD)-associated peritonitis caused by nontuberculous mycobacteria (NTM), including Mycobacterium abscessus (M. abscessus), is a rare but serious complication that forces PD to be withdrawn. Several cases of per
Externí odkaz:
https://doaj.org/article/61b8e8f227654b5fb29b441272be087d
Autor:
Noriaki Sato, Masanori Kakuta, Eiichiro Uchino, Takanori Hasegawa, Ryosuke Kojima, Wataru Kobayashi, Kaori Sawada, Yoshihiro Tamura, Itoyo Tokuda, Seiya Imoto, Shigeyuki Nakaji, Koichi Murashita, Motoko Yanagita, Yasushi Okuno
Publikováno v:
Journal of Oral Microbiology, Vol 12, Iss 1 (2020)
Background: The oral microbiome, which consists of various habitats, has been shown to be influenced by smoking. However, differences in the tongue microbiomes of current and former smokers, as well as their resultant functional consequences, have ra
Externí odkaz:
https://doaj.org/article/7e9443e7d03844f0a8c3a1027e2e862f
Autor:
Keiichi Kaneko, Yuki Sato, Eiichiro Uchino, Naoya Toriu, Mayo Shigeta, Hiroshi Kiyonari, Shuichiro Endo, Shingo Fukuma, Motoko Yanagita
Publikováno v:
Kidney International. 102(2):280-292
Erythropoietin (Epo) is produced by a subpopulation of resident fibroblasts in the healthy kidney. We have previously demonstrated that, during kidney fibrosis, kidney fibroblasts including Epo-producing cells transdifferentiate into myofibroblasts a
Autor:
Minoru Sakuragi, Eiichiro Uchino, Noriaki Sato, Takeshi Matsubara, Akihiko Ueda, Yohei Mineharu, Ryosuke Kojima, Motoko Yanagita, Yasushi Okuno
Acute kidney injury (AKI) is a critical complication in immune checkpoint inhibitor (ICI) therapy. Although risk factors of AKI in ICI therapy have been extensively studied, individualized and real-time assessment of AKI risk has not been achieved. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f000c7dfdde2ee6ae34bb288b15744
https://doi.org/10.21203/rs.3.rs-2819262/v1
https://doi.org/10.21203/rs.3.rs-2819262/v1
Autor:
Yasushi Okuno, Sachiko Minamiguchi, Shusuke Hiragi, Hironori Haga, Minoru Sakuragi, Ryosuke Kojima, Noriaki Sato, Eiichiro Uchino, Motoko Yanagita, Hideki Yokoi
Publikováno v:
Kidney International Reports
Introduction Evaluating histopathology via machine learning has gained research and clinical interest, and the performance of supervised learning tasks has been described in various areas of medicine. Unsupervised learning of histological images has
Autor:
Eiichiro Uchino, Koh Ono, Kazuki Nakamura, Yasushi Okuno, Ryosuke Kojima, Shigeyuki Nakaji, Koichi Murashita, Ken Itoh, Motoko Yanagita
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Nature Communications
Nature Communications
Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Machine learning (ML) has been the primary concern of diagnosis support according to comprehensive patient information. A prominen