Rchr
J-GLOBAL ID:201201096005133956
Update date: Nov. 16, 2024
Yamamoto Yoichiro
ヤマモト ヨウイチロウ | Yamamoto Yoichiro
Affiliation and department:
Job title:
Team Leader
Other affiliations (2):
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Tohoku University
Graduate School of Medicine
Professor (Joint Graduate School)
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Nippon Medical School
Professor (Visiting)
Research theme for competitive and other funds (9):
- 2022 - 2026 Exploring histologic risk factors for relapse in ulcerative colitis using artificial intelligence
- 2022 - 2025 AIによる前立腺癌病理情報に基づく遺伝子変異診断法の開発
- 2020 - 2025 Challenge toward the Control of Intractable Cancer through Understanding of Molecular, Cellular, and Interorgan Networks
- 2021 - 2024 前立腺導管癌の分子生物学的特徴及び治療予測への人工知能の応用
- 2016 - 2023 組織中および尿中ビッグデータに基づいたBCG注入後膀胱癌再発予測システムの開発
- 2018 - 2023 Unveiling the Black Box of Medical Artificial Intelligence
- 2016 - 2019 Development of companion diagnostics for cancer using stacked Artificial Intelligence
- 2015 - 2018 Quantitative morphometric analysis of breast cancer invasion using a machine learning approach
- 2012 - 2014 超広視野ナノレベル構造観測による乳癌幹細胞in situ同定法の開発
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Papers (29):
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Hayato Takeda, Jun Akatsuka, Tomonari Kiriyama, Yuka Toyama, Yasushi Numata, Hiromu Morikawa, Kotaro Tsutsumi, Mami Takadate, Hiroya Hasegawa, Hikaru Mikami, et al. Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction. Current Oncology. 2024. 31. 11. 7180-7189
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Aya Noguchi, Yasushi Numata, Takanori Sugawara, Hiroshu Miura, Kaori Konno, Yuzu Adachi, Ruri Yamaguchi, Masaharu Ishida, Takashi Kokumai, Daisuke Douchi, et al. Deep learning predicts the 1-year prognosis of pancreatic cancer patients using positive peritoneal washing cytology. Scientific Reports. 2024. 14. 17059
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Yoshihiko Ogata, Jun Akatsuka, Yuki Endo, Hikaru Mikami, Masato Yanagi, Hayato Takeda, Yuka Toyama, Yoichiro Yamamoto, Go Kimura, Yukihiro Kondo. Index tumor location affected early biochemical recurrence after radical prostatectomy in patients with negative surgical margin: a retrospective study. BMC Urology. 2024. 24. 1
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Jun Akatsuka, Go Kimura, Mami Taniuchi, Sayuri Hiraoka, Tomoko Sahara, Takuma Iwai, Hiroya Hasegawa, Hikaru Mikami, Kotaro Obayashi, Hayato Takeda, et al. The Current Status of Comprehensive Genomic Profiling in the Management of Metastatic Castration-Resistant Prostate Cancer: A Study from a Cooperative Hospital for Cancer Genomic Medicine in Japan. Journal of Nippon Medical School. 2024. 91. 5
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Ruri Yamaguchi, Hiromu Morikawa, Jun Akatsuka, Yasushi Numata, Aya Noguchi, Takashi Kokumai, Masaharu Ishida, Masamichi Mizuma, Kei Nakagawa, Michiaki Unno, et al. Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adjuvant Treatment. Pancreas. 2023
more...
Books (10):
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Expectations for development of medical care and biomedical science research brought about by the evolution of neural networks
2024 ISBN:9784758125864
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AI・シミュレーションによる科学的発見は可能か?複雑な生命現象・疾患の未知なるメカニズムを解く
実験医学 Vol.42 No.1 2024 ISBN:9784758125758
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【デジタルパソロジー/サイトロジーとAIの進歩】前立腺がんにおける医療AIの現状
医学のあゆみ 284(3) 201-205 2023年 2023
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Exploring a new world in pathological images
Journal of Clinical and Experimental Medicine, 274, 9, pp759-764. 2020
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Pathology and artificial intelligence: toward trustable AI
Experimental Medicine, vol.37, No,16, pp2690-2695 2019
more...
Education (2):
- 2006 - 2009 Tohoku University Graduate School of Medicine
- 1998 - 2004 Tohoku University School of Medicine
Professional career (1):
- M.D.,Ph.D. (Tohoku University)
Work history (3):
- 2022 - 現在 Nippon Medical School (Professor, visiting)
- 2022 - 現在 Tohoku University (Professor, Joint Graduate School) Mathematical Intelligence for Medicine, Graduate School of Medicine
- 2018 - 現在 RIKEN Center for Advanced Intelligence Project Pathology Informatics Team Team Leader
Awards (4):
- 2020 - 文部科学省 科学技術・学術政策研究所 「科学技術への顕著な貢献 2020(ナイスステップな研究者)」
- 2020 - 武見奨励賞
- 2018 - 理化学研究所と産業界の交流会 優秀出展パネル入賞
- 2010 - 東北大学加齢医学研究所研究奨励賞
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