Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Hirokazu Oka"'
Publikováno v:
Publicationes Mathematicae Debrecen. 102:507-524
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa0b0edb7a1ea959b4fa35f734be61a
https://doi.org/10.5486/pmd.2023.9558
https://doi.org/10.5486/pmd.2023.9558
Autor:
Reiko Okubo, Tomohiro Ohigashi, Masahide Kondo, Ryoya Tsunoda, Hirayasu Kai, Chie Saito, Junichi Hoshino, Hirokazu Okada, Ichiei Narita, Shoichi Maruyama, Takashi Wada, Kunihiro Yamagata
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Iron deficiency is a major contributor to anaemia in chronic kidney diseases. The association of anaemia and iron deficiency with health-related quality of life in Japanese patients with non-dialysis chronic kidney disease has not
Externí odkaz:
https://doaj.org/article/3a63cbce63ce4d67a59237b16a82f3c3
Autor:
Sho Shimamoto, Takako Nakahara, Shunsuke Yamada, Hajime Nagasu, Seiji Kishi, Naoki Nakashima, Kazuhiko Tsuruya, Hirokazu Okada, Kouichi Tamura, Ichiei Narita, Shoichi Maruyama, Yuichiro Yano, Takashi Yokoo, Takashi Wada, Jun Wada, Eiichiro Kanda, Hiromi Kataoka, Masaomi Nangaku, Naoki Kashihara, Toshiaki Nakano
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Chronic kidney disease-mineral and bone disorder (CKD-MBD) are recognized as a systemic disease affecting the prognosis of patients with CKD. Proper management of CKD-MBD is important to improve the prognosis of patients with CKD. Although p
Externí odkaz:
https://doaj.org/article/8f524f1ec6b846b390223610c261dc08
Autor:
Junichi Hoshino, Tomohiro Ohigashi, Ryoya Tsunoda, Yukiko Ito, Hirayasu Kai, Chie Saito, Hirokazu Okada, Ichiei Narita, Takashi Wada, Shoichi Maruyama, Ronald Pisoni, Roberto Pecoits-Filho, Kunihiro Yamagata
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The association of physical activity with renal outcome and mortality in advanced chronic kidney disease (CKD; i.e., estimated glomerular filtration rate [eGFR]
Externí odkaz:
https://doaj.org/article/927a86feb15246ed937a975b5eaa4e98
Autor:
HIROKAZU OKA1 hirokazu.oka.math@vc.ibaraki.ac.jp, TAKESHI MIURA2 miura@math.sc.niigata-u.ac.jp, SIN-EI TAKAHASI3 sin_ei1@yahoo.co.jp
Publikováno v:
Acta Scientiarum Mathematicarum. 2020, Vol. 86 Issue 3/4, p493-502. 10p.
Autor:
Ryo Kanoda, Shotaro Nakajima, Satoshi Fukai, Motonobu Saito, Katsuharu Saito, Hiroya Suzuki, Tomohiro Kikuchi, Azuma Nirei, Hirokazu Okayama, Kosaku Mimura, Hiroyuki Hanayama, Wataru Sakamoto, Tomoyuki Momma, Zenichiro Saze, Koji Kono
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Mismatch repair deficient (dMMR)/microsatellite instability-high (MSI-H) gastric cancer (GC) exhibits an immune-active tumor microenvironment (TME) compared to MMR proficient (pMMR)/microsatellite stable/Epstein-Barr virus-negative [EBV (−
Externí odkaz:
https://doaj.org/article/57decaa1a5db4788a29f6759405f3d95
Autor:
Akira Matsuishi, Shotaro Nakajima, Motonobu Saito, Katsuharu Saito, Satoshi Fukai, Hideaki Tsumuraya, Ryo Kanoda, Tomohiro Kikuchi, Azuma Nirei, Akinao Kaneta, Hirokazu Okayama, Kosaku Mimura, Hiroyuki Hanayama, Wataru Sakamoto, Tomoyuki Momma, Zenichiro Saze, Koji Kono
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Activating antibody-dependent cellular cytotoxicity (ADCC) by targeting claudin-18 isoform 2 (CLDN18.2) using zolbetuximab, a monoclonal antibody against CLDN18.2, has been considered a promising novel therapeutic strategy for gastric cancer
Externí odkaz:
https://doaj.org/article/e8b0b52e782c4628902216379a95458f
Publikováno v:
Results in Mathematics. 77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf78fbee2a6361014350fad086eef351
https://doi.org/10.1007/s00025-021-01588-y
https://doi.org/10.1007/s00025-021-01588-y
Autor:
Keita Nagawa, Yuki Hara, Kaiji Inoue, Yosuke Yamagishi, Masahiro Koyama, Hirokazu Shimizu, Koichiro Matsuura, Iichiro Osawa, Tsutomu Inoue, Hirokazu Okada, Naoki Kobayashi, Eito Kozawa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract A three-dimensional convolutional neural network model was developed to classify the severity of chronic kidney disease (CKD) using magnetic resonance imaging (MRI) Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) ima
Externí odkaz:
https://doaj.org/article/84f5a4260168457090046e31c84bd227
Autor:
Zannatun Nyma, Kaori Kitaoka, Yuichiro Yano, Hiroshi Kanegae, Nomin Bayaraa, Seiji Kishi, Hajime Nagasu, Toshiaki Nakano, Jun Wada, Shoichi Maruyama, Naoki Nakagawa, Kouichi Tamura, Takashi Yokoo, Motoko Yanagita, Ichiei Narita, Kunihiro Yamagata, Takashi Wada, Kazuhiko Tsuruya, Naoki Nakashima, Yoshitaka Isaka, Masaomi Nangaku, Naoki Kashihara, Hirokazu Okada, J-CKD-DB study collaborative
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Understanding the association between compliance to the Chronic Kidney Disease (CKD) guidelines in real-world clinical settings and renal outcomes remains a critical gap in knowledge. A comprehensive analysis was conducted using data from a
Externí odkaz:
https://doaj.org/article/8d40de948dba409a944a7cf390865a53