Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Hiroshi, Akazawa"'
Autor:
Hiroki Yagi, MD, PhD, Eisuke Amiya, MD, PhD, Masae Uehara, MD, PhD, Shun Minatsuki, MD, PhD, Masaru Hatano, MD, PhD, Norifumi Takeda, MD, PhD, Hiroshi Akazawa, MD, PhD, Issei Komuro, MD, PhD
Publikováno v:
CJC Open, Vol 5, Iss 6, Pp 480-489 (2023)
Background: IgG4-related disease (IgG4-RD) is a systemic disease characterized by serum IgG4 upregulation, massive infiltration of IgG4-positive plasma cells, and storiform fibrosis, which results in nodules or thickening of the involved organs. Card
Externí odkaz:
https://doaj.org/article/005f2e26a326438aa7fcf458c0f7b7b1
Autor:
Shinnosuke Sawano, Satoshi Kodera, Naoto Setoguchi, Kengo Tanabe, Shunichi Kushida, Junji Kanda, Mike Saji, Mamoru Nanasato, Hisataka Maki, Hideo Fujita, Nahoko Kato, Hiroyuki Watanabe, Minami Suzuki, Masao Takahashi, Naoko Sawada, Masao Yamasaki, Masataka Sato, Susumu Katsushika, Hiroki Shinohara, Norifumi Takeda, Katsuhito Fujiu, Masao Daimon, Hiroshi Akazawa, Hiroyuki Morita, Issei Komuro
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0307978 (2024)
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electro
Externí odkaz:
https://doaj.org/article/204ccd9b977e45ee8257d4026be4bf06
Autor:
Takayuki Fujiwara, Norifumi Takeda, Hironori Hara, Satoshi Ishii, Genri Numata, Hiroyuki Tokiwa, Manami Katoh, Sonoko Maemura, Takaaki Suzuki, Hiroshi Takiguchi, Tomonobu Yanase, Yoshiaki Kubota, Seitaro Nomura, Masaru Hatano, Kazutaka Ueda, Mutsuo Harada, Haruhiro Toko, Eiki Takimoto, Hiroshi Akazawa, Hiroyuki Morita, Satoshi Nishimura, Issei Komuro
Publikováno v:
JCI Insight, Vol 8, Iss 17 (2023)
Pulmonary hypertension (PH) is a life-threatening disease characterized by a progressive narrowing of pulmonary arterioles. Although VEGF is highly expressed in lung of patients with PH and in animal PH models, the involvement of angiogenesis remains
Externí odkaz:
https://doaj.org/article/ce45defeeabf440ab551c4e01201796d
Autor:
Hirotaka Ieki, Kaoru Ito, Mike Saji, Rei Kawakami, Yuji Nagatomo, Kaori Takada, Toshiya Kariyasu, Haruhiko Machida, Satoshi Koyama, Hiroki Yoshida, Ryo Kurosawa, Hiroshi Matsunaga, Kazuo Miyazawa, Kouichi Ozaki, Yoshihiro Onouchi, Susumu Katsushika, Ryo Matsuoka, Hiroki Shinohara, Toshihiro Yamaguchi, Satoshi Kodera, Yasutomi Higashikuni, Katsuhito Fujiu, Hiroshi Akazawa, Nobuo Iguchi, Mitsuaki Isobe, Tsutomu Yoshikawa, Issei Komuro
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-12 (2022)
Ieki et al. train a deep learning model to estimate patients’ age from chest X-ray images. X-ray age is found to be an indicator of poor prognosis in patients with heart failure and patients admitted to the intensive care unit with cardiovascular d
Externí odkaz:
https://doaj.org/article/d3d3d5c32a7a4d13b8763d3a2f29dd8f
Autor:
Masato Kanda, Toshio Nagai, Naomichi Kondo, Katsuhisa Matsuura, Hiroshi Akazawa, Issei Komuro, Yoshio Kobayashi
Publikováno v:
Cell Transplantation, Vol 32 (2023)
Many studies have explored cardiac progenitor cell (CPC) therapy for heart disease. However, optimal scaffolds are needed to ensure the engraftment of transplanted cells. We produced a three-dimensional hydrogel scaffold (CPC-PRGmx) in which high-via
Externí odkaz:
https://doaj.org/article/1a39a47b567b4d99a0be26a90c92c8be
Autor:
Akito Shindo, Kazutaka Ueda, Shun Minatsuki, Yukiteru Nakayama, Satoshi Hatsuse, Kanna Fujita, Seitaro Nomura, Masaru Hatano, Norifumi Takeda, Hiroshi Akazawa, Issei Komuro
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Glycogen storage disease type III (GSD-III) is an autosomal recessive metabolic disorder caused by mutations in the AGL gene, and may develop various types of pulmonary hypertension (PH). Here, we report a case of 24-year-old man with GSD-IIIb with t
Externí odkaz:
https://doaj.org/article/4d1e78ea79a14e419150fe6c4677d53e
Autor:
Yusuke Adachi, Arihiro Kiyosue, Jiro Ando, Takuya Kawahara, Satoshi Kodera, Shun Minatsuki, Hironobu Kikuchi, Toshiro Inaba, Hiroyuki Kiriyama, Kazutoshi Hirose, Hiroki Shinohara, Akihito Saito, Takayuki Fujiwara, Hironori Hara, Kazutaka Ueda, Kenichi Sakakura, Masaru Hatano, Mutsuo Harada, Eiki Takimoto, Hiroshi Akazawa, Hiroyuki Morita, Shin-ichi Momomura, Hideo Fujita, Issei Komuro
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Percutaneous coronary intervention (PCI) is sometimes considered as an alternative therapeutic strategy to surgical revascularization in patients with coronary artery disease (CAD) and reduced left ventricular ejection fraction (LVEF). Howev
Externí odkaz:
https://doaj.org/article/35f42b33a23b42768f39111d54f23fde
Autor:
Shinnosuke Sawano, Satoshi Kodera, Masataka Sato, Susumu Katsushika, Issei Sukeda, Hirotoshi Takeuchi, Hiroki Shinohara, Atsushi Kobayashi, Hiroshi Takiguchi, Kazutoshi Hirose, Tatsuya Kamon, Akihito Saito, Hiroyuki Kiriyama, Mizuki Miura, Shun Minatsuki, Hironobu Kikuchi, Yasutomi Higashikuni, Norifumi Takeda, Katsuhito Fujiu, Jiro Ando, Hiroshi Akazawa, Hiroyuki Morita, Issei Komuro
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0276928 (2022)
Coronary angiography (CAG) is still considered the reference standard for coronary artery assessment, especially in the treatment of acute coronary syndrome (ACS). Although aging causes changes in coronary arteries, the age-related imaging features o
Externí odkaz:
https://doaj.org/article/33b7bb9008be4b7181d64fa448b2b05f
Autor:
Hiroyuki Kiriyama, MD, Junichi Ishida, MD, Hiroshi Kadowaki, MD, Takeshi Iwasa, MD, Arihiro Kiyosue, MD, Satoshi Kodera, MD, Jiro Ando, MD, Hiroshi Akazawa, MD, Issei Komuro, MD
Publikováno v:
JACC. CardioOncology, Vol 1, Iss 2, Pp 318-321 (2019)
Externí odkaz:
https://doaj.org/article/78aa0aed59e043d29bf711bad8886e43
Autor:
Susumu Katsushika, Satoshi Kodera, Shinnosuke Sawano, Hiroki Shinohara, Naoto Setoguchi, Kengo Tanabe, Yasutomi Higashikuni, Norifumi Takeda, Katsuhito Fujiu, Masao Daimon, Hiroshi Akazawa, Hiroyuki Morita, Issei Komuro
Publikováno v:
European Heart Journal - Digital Health. 4:254-264
Aims The black box nature of artificial intelligence (AI) hinders the development of interpretable AI models that are applicable in clinical practice. We aimed to develop an AI model for classifying patients of reduced left ventricular ejection fract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0991c532dad9b1c06448348f552bf9ec
https://doi.org/10.1093/ehjdh/ztad027
https://doi.org/10.1093/ehjdh/ztad027