Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Ai Dozen"'
Autor:
Hidenori Machino, Ai Dozen, Mariko Konaka, Masaaki Komatsu, Kohei Nakamura, Noriko Ikawa, Kanto Shozu, Ken Asada, Syuzo Kaneko, Hiroshi Yoshida, Tomoyasu Kato, Kentaro Nakayama, Vassiliki Saloura, Satoru Kyo, Ryuji Hamamoto
Publikováno v:
Experimental and Molecular Medicine, Vol 55, Iss 10, Pp 2205-2219 (2023)
Abstract High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecological malignancy. To date, the profiles of gene mutations and copy number alterations in HGSOC have been well characterized. However, the patterns of epigenetic alteratio
Externí odkaz:
https://doaj.org/article/a0fe2b49575f4c47ad6d27b32fe862da
Autor:
Hidenori Machino, Syuzo Kaneko, Masaaki Komatsu, Noriko Ikawa, Ken Asada, Ryuichiro Nakato, Kanto Shozu, Ai Dozen, Kenbun Sone, Hiroshi Yoshida, Tomoyasu Kato, Katsutoshi Oda, Yutaka Osuga, Tomoyuki Fujii, Gottfried von Keudell, Vassiliki Saloura, Ryuji Hamamoto
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
Machino et al discover that low expression of microtubule affinity-regulating kinase 3 (MARK3) correlates with poor prognosis in high-grade serous ovarian carcinoma (HGSOC) patients. They find that the LKB1-MARK3 axis is activated by metabolic stress
Externí odkaz:
https://doaj.org/article/896c60bf69484147a344131ab9d646e9
Autor:
Akira Sakai, Masaaki Komatsu, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Ai Dozen, Kanto Shozu, Tatsuya Arakaki, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto
Publikováno v:
Biomedicines, Vol 10, Iss 3, p 551 (2022)
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance in various medical fields. However, their clinical application remains challenging because of the lack of explanatory power in AI decisions (black box prob
Externí odkaz:
https://doaj.org/article/0f82a039d7ff49a8a38ebeed5de9eb86
Autor:
Masaaki Komatsu, Akira Sakai, Ai Dozen, Kanto Shozu, Suguru Yasutomi, Hidenori Machino, Ken Asada, Syuzo Kaneko, Ryuji Hamamoto
Publikováno v:
Biomedicines, Vol 9, Iss 7, p 720 (2021)
Artificial intelligence (AI) is being increasingly adopted in medical research and applications. Medical AI devices have continuously been approved by the Food and Drug Administration in the United States and the responsible institutions of other cou
Externí odkaz:
https://doaj.org/article/a6c4868b15a84198b2acfacc15da269e
Autor:
Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Kanto Shozu, Ai Dozen, Hidenori Machino, Hirokazu Hidaka, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 371 (2021)
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect to fetal ultrasound screening of congenital heart disease (CHD), it is still challenging to achieve consistently accurate dia
Externí odkaz:
https://doaj.org/article/43c6e790948a4226beac242036c0d4a5
Autor:
Suguru Yasutomi, Tatsuya Arakaki, Ryu Matsuoka, Akira Sakai, Reina Komatsu, Kanto Shozu, Ai Dozen, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto, Masaaki Komatsu
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1127 (2021)
Acoustic shadows are common artifacts in medical ultrasound imaging. The shadows are caused by objects that reflect ultrasound such as bones, and they are shown as dark areas in ultrasound images. Detecting such shadows is crucial for assessing the q
Externí odkaz:
https://doaj.org/article/181f26c0ff9b4bdf8775be4c5ae0d562
Autor:
Kanto Shozu, Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ai Dozen, Hidenori Machino, Suguru Yasutomi, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Ryu Matsuoka, Akitoshi Nakashima, Akihiko Sekizawa, Ryuji Hamamoto
Publikováno v:
Biomolecules, Vol 10, Iss 12, p 1691 (2020)
The application of segmentation methods to medical imaging has the potential to create novel diagnostic support models. With respect to fetal ultrasound, the thoracic wall is a key structure on the assessment of the chest region for examiners to reco
Externí odkaz:
https://doaj.org/article/d2cf4e6dd7694e5ba3d7e351bccdd9ec
Autor:
Ai Dozen, Masaaki Komatsu, Akira Sakai, Reina Komatsu, Kanto Shozu, Hidenori Machino, Suguru Yasutomi, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Ryu Matsuoka, Daisuke Aoki, Akihiko Sekizawa, Ryuji Hamamoto
Publikováno v:
Biomolecules, Vol 10, Iss 11, p 1526 (2020)
Image segmentation is the pixel-by-pixel detection of objects, which is the most challenging but informative in the fundamental tasks of machine learning including image classification and object detection. Pixel-by-pixel segmentation is required to
Externí odkaz:
https://doaj.org/article/465b6ceeea0b4489b0ae999e073a64e4
Autor:
Kanto Shozu, Syuzo Kaneko, Norio Shinkai, Ai Dozen, Hirofumi Kosuge, Makoto Nakakido, Hidenori Machino, Ken Takasawa, Ken Asada, Masaaki Komatsu, Kouhei Tsumoto, Shin-Ichi Ohnuma, Ryuji Hamamoto
Background Proline/arginine-rich end leucine-rich repeat protein (PRELP) is a member of the small leucine-rich proteoglycan family of extracellular matrix proteins, which is markedly suppressed in the majority of early-stage epithelial cancers and pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73838f456aa7603d55b114e722a5bddb
Autor:
Ai Dozen, Kanto Shozu, Norio Shinkai, Noriko Ikawa, Rina Aoyama, Hidenori Machino, Ken Asada, Hiroshi Yoshida, Tomoyasu Kato, Ryuji Hamamoto, Syuzo Kaneko, Masaaki Komatsu
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 12; Pages: 1999
Ovarian clear cell carcinoma (OCCC) has a poor prognosis, and its therapeutic strategy has not been established. PRELP is a leucine-rich repeat protein in the extracellular matrix of connective tissues. Although PRELP anchors the basement membrane to