【Healthcare】Atsuko Sugiyama,Hayato Okumiya,Katsuhiko Fujimoto,Kazuki Utsunomiya,Yuka Shimomura,Masaru Sanuki,Keitaro Kume,Takahiro Yano,Rina Kagawa &Hiroko Bando,Integrated Electronic Health Record of Multidisciplinary Professionals Throughout the Cancer Care Pathway: A Pilot Study Exploring Patient-Centered Information in Breast Cancer Patients,Received 20 Jan 2024, Accepted 20 Apr 2024, Published online: 07 May 2024 https://www.tandfonline.com/doi/full/10.2147/JMDH.S455281 ,
【Healthcare】Kensuke Shimada, Masahiko Gosho, Tomohiro Ohigashi, Keitaro Kume, Takahiro Yano, Ryota Ishii, Kazushi Maruo, Ryota Inokuchi, Masao Iwagami, Hiroshi Ueda, Makoto Tanaka, Masaru Sanuki & Nanako Tamiya, Risk of postoperative pneumonia after extubation with the positive pressure versus normal pressure technique: a single-center retrospective observational study, Original Article | Published: 12 September 2024 https://link.springer.com/article/10.1007/s00540-024-03409-2 ,
【Healthcare・機械学習】Ryoya Tsunoda,Keitaro Kume,Rina Kagawa,Masaru Sanuki,Hiroyuki Kitagawa,Kaori Mase,Kunihiro Yamagata, Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database, Published: December 5, 2024 https://doi.org/10.1371/journal.pone.0312915 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0312915,
【BioInformatics・Phylogeny】Tomáš Pánek, Alexander K. Tice, Pia Corre, Pavla Hrubá, David Žihala, Ryoma Kamikawa, Euki Yazaki, Takashi Shiratori, Keitaro Kume, Tetsuo Hashimoto, Ken-ichiro Ishida, Miluše Hradilová, Jeffrey D. Silberman, Andrew Roger, Yuji Inagaki, Marek Eliáš, Matthew W. Brown, Ivan Čepička, An expanded phylogenomic analysis of Heterolobosea reveals the deep relationships, non-canonical genetic codes, and cryptic flagellate stages in the group| Molecular Phylogenetics and Evolution,Volume 204,2025,108289,ISSN 1055-7903|Received 16 October 2024, Revised 5 January 2025, Accepted 7 January 2025, Available online 16 January 2025, Version of Record 26 January 2025. https://doi.org/10.1016/j.ympev.2025.108289,
【Data collaboration】Tomoru Nakayama, Yuji Kawamata, Akihiro Toyoda, Akira Imakura, Rina Kagawa, Masaru Sanuki, Ryoya Tsunoda, Kunihiro Yamagata, Tetsuya Sakurai & Yukihiko Okada, Data collaboration for causal inference from limited medical testing and medication data. Sci Rep 15, 9827 (2025). https://doi.org/10.1038/s41598-025-93509-0,
Papers Published in Conference Proceedings
【Symbolic-Numeric Computation】 M. Sanuki, A Stable Computation of Multivariarte Apporximate GCD Based on SVD and Lifting Technique, Proceedings of the SCSS 2024 Work in Progress Workshop, 99-104, 2024-08
【Healthcare】 Atsuko Sugiyama, Hayato Okumiya, Katsuhiko Fujimoto, Kazuki Utsunomiya, Yuka Shimomura, Masaru Sanuki, Keitaro Kume, Takahiro Yano, Rina Kagawa, Hiroko Bando. Toward a Patient-Centered Care Supporting System: Integration of Multidisciplinary Health Records in Breast Cancer Care. Stud Health Technol Inform. 2024 Aug 22;316:1719-1723. doi: 10.3233/SHTI240756. PMID: 39176542.
【ヘルスケア・NDB】 Mori T, Komiyama J, Fujii T, Sanuki M, Kume K, Kato G, Mori Y, Ueshima H, Matsui H, Tamiya N, Sugiyama T. Medical expenditures for fragility hip fracture in Japan: a study using the nationwide health insurance claims database. Arch Osteoporos, 17, 61, https://doi.org/10.1007/s11657-022-01096-8, 2022.
【BioInformatics】Ryoma Kamikawa, Takako Mochizuki, Mika Sakamoto, Yasuhiro Tanizawa, Takuro Nakayama, Ryo Onuma, Ugo Cenci, Daniel Moog, Samuel Speak, Krisztina Sarkozi, Andrew Toseland, Cock Van Oosterhout, Kaori Oyama, Misako Kato, Keitaro Kume, Motoki Kayama, Tomonori Azuma, Ken-ichiro Ishii, Hideaki Miyashita, Bernard Henrissat, Vincent Lombard, Joe Win, Sophien Kamoun, Yuichiro Kashiyama, Shigeki Mayama, Shin-ya Miyagishima, Goro Tanifuji, Thomas Mock, and Yasukazu Nakamura, Genome evolution of a nonparasitic secondary heterotroph,the diatom. Science advances/8(17)/p.eabi5075, 2022-04-29, doi:10.1126/sciadv.abi5075
【BioInformatics】Euki Yazaki, Akinori Yabuki, Ayaka Imaizumi, Keitaro Kume , Tetsuo Hashimoto and Yuji Inagaki, The closest relative of Archaeplastida is revealed by phylogenomic analyses that include Microheliella maris. Open Biology/12(4)/p.210376, 2022-04, doi:10.1098/rsob.210376
【寄生虫】Arisue Nobuko, Honma Hajime, Kume Keitaro, Hashimoto Tetsuo, Progress in understanding the phylogeny of the Plasmodium vivax lineage. PARASITOLOGY INTERNATIONAL/87, 2022-04, doi:10.1016/j.parint.2021.102507
【ヘルスケア・NDB】 Yu Sun, Masao Iwagami, Jun Komiyama, Takehiro Sugiyama, Ryota Inokuchi, Nobuo Sakata, Tomoko Ito, Satoru Yoshie, Hiroki Matsui, Keitaro Kume, Masaru Sanuki, Genta Kato, Yukiko Mori, Hiroaki Ueshima, Nanako Tamiya. The Effect of Home Care Support Clinics on Hospital Readmission in Heart Failure Patients in Japan. Journal of general internal medicine, doi:10.1007/s11606-023-08030-9, 2023-01-17
【ヘルスケア・NDB】 Yu Sun, Masao Iwagami, Jun Komiyama, Takehiro Sugiyama, Ryota Inokuchi, Nobuo Sakata, Tomoko Ito, Satoru Yoshie, Hiroki Matsui, Keitaro Kume, Masaru Sanuki, Genta Kato, Yukiko Mori, Hiroaki Ueshima, Nanako Tamiya.Association between types of home healthcare and emergency house calls, hospitalization, and end-of-life care in Japan.Journal of the American Geriatrics Society, https://doi.org/10.1111/jgs.18268 2023-02-15
【ヘルスケア・機械学習】 Yuki Oba, Taro Tezuka, Masaru Sanuki, and Yukiko Wagatsuma, Interpretations of Predictive Models for Lifestyle-related Diseases at Multiple Time Intervals, Lecture Notes in Artificial Intelligence 13713, Lecture Notes in Computer Science/eBook/pp.293-308, 2023-03
【BioInformatics・AI】Ryo Harada, Keitaro Kume, Kazumasa Horie, Takuro Nakayama, Yuji Inagaki, Toshiyuki Amagasa, AtLASS: A scheme for end-to-end prediction of splice sites using attention-based bi-LSTM, IPSJ Transactions on Bioinformatics, https://doi.org/10.2197/ipsjtbio.16.20
Papers Published in Conference Proceedings
【AI】 Kagawa, R., Shirasuna, M., Ikeda, A., Sanuki, M., Honda, H., & Nosato, H. (2022). One-second Boosting: A Simple and Cost-effective Intervention that Promotes the Optimal Allocation of Cognitive Resources. Proceedings of the Annual Meeting of the Cognitive Science Society, 44. Retrieved from https://escholarship.org/uc/item/2bm0v62h
【ヘルスケア・機械学習】 Yuki Oba, Taro Tezuka, Masaru Sanuki, and Yukiko Wagatsuma, Interpretations of Predictive Models for Lifestyle-related Diseases at Multiple Time Intervals, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD2022), Grenoble, France, September 19-23, 2022. (to appear)
【ヘルスケア・機械学習】 Yuki Oba, Taro Tezuka , Masaru Sanuki, Yukiko Wagatsuma (2021) Analysis of Health Screening Records Using Interpretations of Predictive Models. In: Tucker A., Henriques Abreu P., Cardoso J., Pereira Rodrigues P., Riano D. (eds) Artificial Intelligence in Medicine. AIME 2021. Lecture Notes in Computer Science, Springer, Cham, vol 12721, 146-151. 10.1007/978-3-030-77211-6_15
【ヘルスケア・機械学習】 Yuki Oba, Taro Tezuka, Masaru Sanuki, Yukiko Wagatsuma, Interpretable prediction of diabetes from tabular health screening records using an attentional neural network, Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA2021), October 2021. https://doi.org/10.1109/DSAA53316.2021.9564151
【Computer Algebra/数式処理】 T. Sasaki, M. Sanuki, D. Inaba : Proposal of Multivariate Polynomial Arithmetic in a Specified Width of High- or Low-Exponents, Proc. of SYNACS2021, IEEE, 2021, 25-32. (electronic publishing) https://doi.org/10.1109/SYNASC54541.2021.00016
【教育工学】 讃岐 勝・柳川 信・片山 京子、ハイフレックス型授業における出席管理の1例、JSiSE Research Report、36(1)、2021, 59-62 (教育システム情報学会（JSiSE） 2021年度第１回研究会、2021年5月8日)
【Computer Algebra/数式処理】 Tateaki Sasaki, Fujio Kako, Masaru Sanuki, Daiju Inaba, An Attempt to Enhance Buchberger's Algorithm by Using PRSs and GCDs (26th International Conference on Applications of Computer Algebra, 2021.07.23-07.27)
【Computer Algebra/数式処理】 Tateaki Sasaki, Masaru Sanuki, Inaba Daiju, Proposal of Multivariate Polynomial Arithmetic in a Specified Range of Higher- or Lower-exponents (26th International Conference on Applications of Computer Algebra, 2021.07.23-07.27)
【Computer Algebra/数式処理】 Masaru Sanuki, Multivariate Approximate GCD Computation Using Null Space of Subresultant Matrix within Polynomials: Non-singular Case (26th International Conference on Applications of Computer Algebra, 2021.07.23-07.27)
【Medical AI】 Hideki Yoshioka, Shinya Kawamatsu, Ryota Jin, Shogo Araki, Hiromi Sato, Yasunori Sato, Akihiro Hisaka. "Scores of Health-Related Quality of Life Questionnaire Worsen Consistently in Patients with COPD: Estimating Disease Progression over 30 Years by SReFT with Individual Data Collected in SUMMIT Trial". The Twelfth American Conference on Pharmacometrics (ACoP12), November 8-12, 2021 (virtual).
【Medical AI】 Ryota Jin, Hideki Yoshioka, Akihiro Hisaka. "Analysis of Long-term Progression of Parkinson's Disease and Covariate Effects of Sex and LRRK2-Associated Single Nucleotide Polymorphisms (SNPs) by SReFT". The Twelfth American Conference on Pharmacometrics (ACoP12), November 8-12, 2021 (virtual).
【BioInformatics】 (* Equal contribution) Yuki Nishimura*, Keitaro Kume*, Keito Sonehara, Goro Tanifuji, Takashi Shiratori, Ken-ichiro Ishida, Tetsuo Hashimoto, Yuji Inagaki, Moriya Ohkuma, Mitochondrial genomes of Hemiarma marina and Leucocryptos marina revised the evolution of cytochrome c maturation in Cryptista, Proc Biol Sci, 2020-05, doi: 10.3389/fevo.2020.00140.
【BioInformatics】 Euki Yazaki, Keitaro Kume, Takashi Shiratori, Yana Eglit, Goro Tanifuji, Ryo Harada, Alastair G B Simpson, Ken-Ichiro Ishida, Tetsuo Hashimoto, Yuji Inagaki, Barthelonids represent a deep-branching metamonad clade with mitochondrion-related organelles predicted to generate no ATP, Front Ecol Evol, 2020-09, doi: 10.1098/rspb.2020.1538.
【応用数学(次元削減)】 Takahiro Yano, Yasunori Futamura, Akira Imakura and Tetsuya Sakurai, Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace, In: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021), pp.83-89, 2021. doi: 【10.1145/3432261.3432267】(https://doi.org/10.1145/3432261.3432267)
【数式処理】 佐々木建昭・讃岐勝・稲葉大樹・加古富志雄、疎な多変数多項式系の高速な変数消去法の探求 (II)、RIMS 共同研究 (公開型)Computer Algebra -- Theory and its Applications(2020年12月22日-月24日)
【BioInformatics・機械学習】 Keitaro Kume, A machine learning approach for prediction of mitochondrial proteins in non-model organisms, RIKEN iTHEMS Biology Seminar, 2021-02
