AI・ビッグデータ研究部門

384  件  
※ 登録方法の違いにより重複して表示されている場合があります。
  1. Parallelization of Three Dimensional Cardiac Simulation on GPU 2024.09; ( DOI )

  2. Wang QS, Hasegawa T, Namkoong H, Saiki R, Edahiro R, Sonehara K, Tanaka H, Azekawa S, Chubachi S, Takahashi Y, Sakaue S, Namba S, Yamamoto K, Shiraishi Y, Chiba K, Tanaka H, Makishima H, Nannya Y, Zhang Z, Tsujikawa R, Koike R, Takano T, Ishii M, Kimura A, Inoue F, Kanai T, Fukunaga K, Ogawa S, Imoto S, Miyano S, Okada Y, Japan COVID-19 Task Force: Statistically and functionally fine-mapped blood eQTLs and pQTLs from 1,405 humans reveal distinct regulation patterns and disease relevance. Nature genetics. 2024.09; ( PubMed , DOI )

  3. Maruhashi K, Kashima H, Miyano S, Park H: Meta graphical lasso: uncovering hidden interactions among latent mechanisms. Scientific reports. 2024.08; 14 (1): 18105. ( PubMed , DOI )

  4. Linked color imaging with artificial intelligence improves the detection of early gastric cancer. 2024.08; 1-9. ( PubMed , DOI )

  5. Ashida S, Kawada C, Tanaka H, Kurabayashi A, Yagyu KI, Sakamoto S, Maejima K, Miyano S, Daibata M, Nakagawa H, Inoue K: Cutibacterium acnes invades prostate epithelial cells to induce BRCAness as a possible pathogen of prostate cancer. The Prostate. 2024.08; 84 (11): 1056-1066. ( PubMed , DOI )

  6. Watanabe K, Tasaka K, Ogata H, Kato S, Ueno H, Umeda K, Isobe T, Kubota Y, Sekiguchi M, Kimura S, Sato-Otsubo A, Hiwatari M, Ushiku T, Kato M, Oka A, Miyano S, Ogawa S, Takita J: Inhibition of the galactosyltransferase C1GALT1 reduces osteosarcoma cell proliferation by interfering with ERK signaling and cell cycle progression. Cancer gene therapy. 2024.07; 31 (7): 1049-1059. ( PubMed , DOI )

  7. Iyoda S, Yoshida K, Shoji K, Ito N, Tanaka M, Nannya Y, Yamato G, Tsujimoto S, Shiba N, Hayashi Y, Shiozawa Y, Shiraishi Y, Chiba K, Okada A, Tanaka H, Miyano S, Koga Y, Goto H, Moritake H, Terui K, Ito E, Kiyokawa N, Tomizawa D, Taga T, Tawa A, Takita J, Nishikori M, Adachi S, Ogawa S, Matsuo H: KRAS G12 mutations as adverse prognostic factors in KMT2A-rearranged acute myeloid leukemia. Leukemia. 2024.07; 38 (7): 1609-1612. ( PubMed , DOI )

  8. Bidirectional Copy-Paste Mamba for Enhanced Semi-Supervised Segmentation of Transvaginal Uterine Ultrasound Images. 2024.07; 14 (13): ( PubMed , DOI )

  9. Azekawa S, Maetani T, Chubachi S, Asakura T, Tanabe N, Shiraishi Y, Namkoong H, Tanaka H, Shimada T, Fukushima T, Otake S, Nakagawara K, Watase M, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: CT-derived vertebral bone mineral density is a useful biomarker to predict COVID-19 outcome. Bone. 2024.07; 184 117095. ( PubMed , DOI )

  10. Yamagishi, M; Miyata, K; Kamatani, T; Kabata, H; Baba, R; Tanaka, Y; Suzuki, N; Matsusaka, M; Motomura, Y; Kiniwa, T; Koga, S; Goda, K; Ohara, O; Funatsu, T; Fukunaga, K; Moro, K; Uemura, S; Shirasaki, Y: Quantitative live-cell imaging of secretion activity reveals dynamic immune responses ISCIENCE. 2024.06; 27 (6): 109840. ( PubMed , DOI )

  11. Sato T, Yoshida K, Toki T, Kanezaki R, Terui K, Saiki R, Ojima M, Ochi Y, Mizuno S, Yoshihara M, Uechi T, Kenmochi N, Tanaka S, Matsubayashi J, Kisai K, Kudo K, Yuzawa K, Takahashi Y, Tanaka T, Yamamoto Y, Kobayashi A, Kamio T, Sasaki S, Shiraishi Y, Chiba K, Tanaka H, Muramatsu H, Hama A, Hasegawa D, Sato A, Koh K, Karakawa S, Kobayashi M, Hara J, Taneyama Y, Imai C, Hasegawa D, Fujita N, Yoshitomi M, Iwamoto S, Yamato G, Saida S, Kiyokawa N, Deguchi T, Ito M, Matsuo H, Adachi S, Hayashi Y, Taga T, Saito AM, Horibe K, Watanabe K, Tomizawa D, Miyano S, Takahashi S, Ogawa S, Ito E: Landscape of driver mutations and their clinical effects on Down syndrome-related myeloid neoplasms. Blood. 2024.06; 143 (25): 2627-2643. ( PubMed , DOI )

  12. Development of high-quality artificial intelligence for computer-aided diagnosis in determining subtypes of colorectal cancer. 2024.06; ( PubMed , DOI )

  13. Tanaka H, Chubachi S, Asakura T, Namkoong H, Azekawa S, Otake S, Nakagawara K, Fukushima T, Lee H, Watase M, Sakurai K, Kusumoto T, Masaki K, Kamata H, Ishii M, Hasegawa N, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Prognostic significance of chronic kidney disease and impaired renal function in Japanese patients with COVID-19. BMC infectious diseases. 2024.05; 24 (1): 527. ( PubMed , DOI )

  14. Otake S, Shiraishi Y, Chubachi S, Tanabe N, Maetani T, Asakura T, Namkoong H, Shimada T, Azekawa S, Nakagawara K, Tanaka H, Fukushima T, Watase M, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Hasegawa N, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Lung volume measurement using chest CT in COVID-19 patients: a cohort study in Japan. BMJ open respiratory research. 2024.04; 11 (1): ( PubMed , DOI )

  15. Nakagawara K, Shiraishi Y, Chubachi S, Tanabe N, Maetani T, Asakura T, Namkoong H, Tanaka H, Shimada T, Azekawa S, Otake S, Fukushima T, Watase M, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Integrated assessment of computed tomography density in pectoralis and erector spinae muscles as a prognostic biomarker for coronavirus disease 2019. Clinical nutrition (Edinburgh, Scotland). 2024.03; 43 (3): 815-824. ( PubMed , DOI )

  16. Park H, Miyano S: Differential Gene Regulatory Network Analysis between Azacitidine-Sensitive and -Resistant Cell Lines. International journal of molecular sciences. 2024.03; 25 (6): ( PubMed , DOI )

  17. Ito S, Ono K, Miyano S: Large-scale WGS Analysis on the supercomputer Fugaku ICBBB '24: Proceedings of the 2024 14th International Conference on Bioscience, Biochemistry and Bioinformatics. 2024.01; 14-20.

  18. Yuta Matsubara, Hiroki Kiyohara, Yohei Mikami, Kosaku Nanki, Ho Namkoong, Shotaro Chubachi, Hiromu Tanaka, Shuhei Azekawa, Shinya Sugimoto, Yusuke Yoshimatsu, Tomohisa Sujino, Kaoru Takabayashi, Naoki Hosoe, Toshiro Sato, Makoto Ishii, Naoki Hasegawa, Yukinori Okada, Ryuji Koike, Yuko Kitagawa, Akinori Kimura, Seiya Imoto, Satoru Miyano, Seishi Ogawa, Koichi Fukunaga, Takanori Kanai, : Gastrointestinal symptoms in COVID-19 and disease severity: a Japanese registry-based retrospective cohort study. J Gastroenterol. 2024.01; ( PubMed , DOI )

  19. Fukushima T, Maetani T, Chubachi S, Tanabe N, Asakura T, Namkoong H, Tanaka H, Shimada T, Azekawa S, Otake S, Nakagawara K, Watase M, Shiraishi Y, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Epicardial adipose tissue measured from analysis of adipose tissue area using chest CT imaging is the best potential predictor of COVID-19 severity. Metabolism: clinical and experimental. 2024.01; 150 155715. ( PubMed , DOI )

  20. Okawa Y, Sasagawa S, Kato H, Johnson TA, Nagaoka K, Kobayashi Y, Hayashi A, Shibayama T, Maejima K, Tanaka H, Miyano S, Shibahara J, Nishizuka S, Hirano S, Seto Y, Iwaya T, Kakimi K, Yasuda T, Nakagawa H: Immuno-genomic analysis reveals eosinophilic feature and favorable prognosis of female non-smoking esophageal squamous cell carcinomas. Cancer letters. 2024.01; 581 216499. ( PubMed , DOI )

  21. Park H, Miyano S: Sparse spectral graph analysis and its application to gastric cancer drug resistance-specific molecular interplays identification. PloS one. 2024; 19 (7): e0305386. ( PubMed , DOI )

  22. Non-polypoid Colorectal Lesions Detection and False Positive Detection by Artificial Intelligence under Blue Laser Imaging and Linked Color Imaging. 2024; 8 (3): 212-220. ( PubMed , DOI )

  23. 中村啓二郎, 孫堯, 原英彦, 諸井雅男, 朱欣: 異なるベースラインインピーダンス下の低電力および長期バイポーラ高周波アブレーションの計算機シミュレーション【JST機械翻訳】||| 日本循環器学会学術集会(Web). 2024; 88th 104226. ( PubMed , DOI )

  1. Evaluation of lesion characteristics and baseline impedance on high-power short-duration radiofrequency catheter ablation using computer simulation. 2023.12; 38 (12): 1459-1467. ( PubMed , DOI )

  2. Yamada Yoshiki, Kamatani Takashi, Hamada Yusuke, Kitaguchi Kazuma, Kashii Masafumi: 長期酵素補充療法中のPompe病患者における脊柱後彎に対する脊椎後方固定術 症例報告(Posterior spinal fusion for kyphoscoliosis in patients with Pompe disease under long-term enzyme replacement therapy: A case report) JOS Case Reports. 2023.12; 2 (4): 169-173.

  3. Kawachi K, Tang X, Kasajima R, Yamanaka T, Shimizu E, Katayama K, Yamaguchi R, Yokoyama K, Yamaguchi K, Furukawa Y, Miyano S, Imoto S, Yoshioka E, Washimi K, Okubo Y, Sato S, Yokose T, Miyagi Y: Genetic analysis of low-grade adenosquamous carcinoma of the breast progressing to high-grade metaplastic carcinoma. Breast cancer research and treatment. 2023.12; 202 (3): 563-573. ( PubMed , DOI )

  4. Wang QS, Edahiro R, Namkoong H, Hasegawa T, Shirai Y, Sonehara K, Japan COVID-19 Task Force, Kumanogoh A, Ishii M, Koike R, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K, Okada Y: Estimating gene-level false discovery probability improves eQTL statistical fine-mapping precision. NAR genomics and bioinformatics. 2023.12; 5 (4): lqad090. ( PubMed , DOI )

  5. Kusumoto T, Chubachi S, Namkoong H, Tanaka H, Lee H, Otake S, Nakagawara K, Fukushima T, Morita A, Watase M, Asakura T, Masaki K, Kamata H, Ishii M, Hasegawa N, Harada N, Ueda T, Ueda S, Ishiguro T, Arimura K, Saito F, Yoshiyama T, Nakano Y, Mutoh Y, Suzuki Y, Edahiro R, Murakami K, Sato Y, Okada Y, Koike R, Kitagawa Y, Tokunaga K, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Characteristics of patients with COVID-19 who have deteriorating chest X-ray findings within 48 h: a retrospective cohort study. Scientific reports. 2023.12; 13 (1): 22054. ( PubMed , DOI )

  6. Masatoshi Takagi, Akihiro Hoshino, Kristine Bousset, Jule Röddecke, Hanna Luisa Martin, Iulia Folcut, Dan Tomomasa, Xi Yang, Junya Kobayashi, Naoki Sakata, Kenichi Yoshida, Satoru Miyano, Seishi Ogawa, Seiji Kojima, Tomohiro Morio, Thilo Dörk, Hirokazu Kanegane: Bone Marrow Failure and Immunodeficiency Associated with Human RAD50 Variants. J Clin Immunol. 2023.11; 43 (8): 2136-2145. ( PubMed , DOI )

  7. Sakurai K, Chubachi S, Asakura T, Namkoong H, Tanaka H, Azekawa S, Shimada T, Otake S, Nakagawara K, Fukushima T, Lee H, Watase M, Kusumoto T, Masaki K, Kamata H, Ishii M, Hasegawa N, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Prognostic significance of hypertension history and blood pressure on admission in Japanese patients with coronavirus disease 2019: integrative analysis from the Japan COVID-19 Task Force. Hypertension research : official journal of the Japanese Society of Hypertension. 2023.11; 47 (3): 639-648. ( PubMed , DOI )

  8. Tanaka H, Maetani T, Chubachi S, Tanabe N, Shiraishi Y, Asakura T, Namkoong H, Shimada T, Azekawa S, Otake S, Nakagawara K, Fukushima T, Watase M, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Hasegawa N, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography - a multicenter retrospective cohort study in Japan. Respiratory research. 2023.10; 24 (1): 241. ( PubMed , DOI )

  9. Kobayashi Y, Niida A, Nagayama S, Saeki K, Haeno H, Takahashi KK, Hayashi S, Ozato Y, Saito H, Hasegawa T, Nakamura H, Tobo T, Kitagawa A, Sato K, Shimizu D, Hirata H, Hisamatsu Y, Toshima T, Yonemura Y, Masuda T, Mizuno S, Kawazu M, Kohsaka S, Ueno T, Mano H, Ishihara S, Uemura M, Mori M, Doki Y, Eguchi H, Oshima M, Suzuki Y, Shibata T, Mimori K: Subclonal accumulation of immune escape mechanisms in microsatellite instability-high colorectal cancers. British journal of cancer. 2023.10; 129 (7): 1105-1118. ( PubMed , DOI )

  10. Kabata, H; Irie, M; Baba, R; Shirasaki, Y; Kamatani, T; Yamagishi, M; Fukunaga, K: Zinc plays an essential role in type 2 cytokine production from ILC2s in asthma EUROPEAN RESPIRATORY JOURNAL. 2023.09; 62 ( DOI )

  11. Tanaka Y, Yamagishi M, Motomura Y, Kamatani T, Oguchi Y, Suzuki N, Kiniwa T, Kabata H, Irie M, Tsunoda T, Miya F, Goda K, Ohara O, Funatsu T, Fukunaga K, Moro K, Uemura S, Shirasaki Y: Time-dependent cell-state selection identifies transiently expressed genes regulating ILC2 activation. Communications biology. 2023.09; 6 (1): 915. ( PubMed , DOI )

  12. Nishimura T, Kakiuchi N, Yoshida K, Sakurai T, Kataoka TR, Kondoh E, Chigusa Y, Kawai M, Sawada M, Inoue T, Takeuchi Y, Maeda H, Baba S, Shiozawa Y, Saiki R, Nakagawa MM, Nannya Y, Ochi Y, Hirano T, Nakagawa T, Inagaki-Kawata Y, Aoki K, Hirata M, Nanki K, Matano M, Saito M, Suzuki E, Takada M, Kawashima M, Kawaguchi K, Chiba K, Shiraishi Y, Takita J, Miyano S, Mandai M, Sato T, Takeuchi K, Haga H, Toi M, Ogawa S: Evolutionary histories of breast cancer and related clones. Nature. 2023.08; 620 (7974): 607-614. ( PubMed , DOI )

  13. Suzuki M, Kasajima R, Yokose T, Shimizu E, Hatakeyama S, Yamaguchi K, Yokoyama K, Katayama K, Yamaguchi R, Furukawa Y, Miyano S, Imoto S, Shinozaki-Ushiku A, Ushiku T, Miyagi Y: KMT2C expression and DNA homologous recombination repair factors in lung cancers with a high-grade fetal adenocarcinoma component. Translational lung cancer research. 2023.08; 12 (8): 1738-1751. ( PubMed , DOI )

  14. 1. Tanaka Y, Yamagishi M, Motomura Y, Kamatani T, Oguchi Y, Suzuki N, Kiniwa T, Kabata H, Tsunoda T, Miya F, Goda K, Ohara O, Funatsu T, Fukunaga K, Moro K, Uemura U and Shirasaki Y.: Time-Dependent Cell-State Selection identifies transiently expressed genes regulating ILC2 activation Communication Biology. 2023.08;

  15. Tanaka H, Chubachi S, Asakura T, Namkoong H, Azekawa S, Otake S, Nakagawara K, Fukushima T, Lee H, Watase M, Sakurai K, Kusumoto T, Masaki K, Kamata H, Ishii M, Hasegawa N, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Characteristics and clinical effectiveness of COVID-19 vaccination in hospitalized patients in Omicron-dominated epidemic wave - a nationwide study in Japan. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases. 2023.07; 132 84-88. ( PubMed , DOI )

  16. Hara Y, Shiba N, Yoshida K, Yamato G, Kaburagi T, Shiraishi Y, Ohki K, Shiozawa Y, Kawamura M, Kawasaki H, Sotomatsu M, Takizawa T, Matsuo H, Shimada A, Kiyokawa N, Tomizawa D, Taga T, Ito E, Horibe K, Miyano S, Adachi S, Taki T, Ogawa S, Hayashi Y: TP53 and RB1 alterations characterize poor prognostic subgroups in pediatric acute myeloid leukemia. Genes, chromosomes & cancer. 2023.07; 62 (7): 412-422. ( PubMed , DOI )

  17. Tanaka H, Chubachi S, Namkoong H, Sato Y, Asakura T, Lee H, Azekawa S, Otake S, Nakagawara K, Fukushima T, Watase M, Sakurai K, Kusumoto T, Kondo Y, Masaki K, Kamata H, Ishii M, Kaneko Y, Hasegawa N, Ueda S, Sasaki M, Izumo T, Inomata M, Miyazawa N, Kimura Y, Suzuki Y, Harada N, Ichikawa M, Takata T, Ishikura H, Yoshiyama T, Kokuto H, Murakami K, Sano H, Ueda T, Kuwahara N, Fujiwara A, Ogura T, Inoue T, Asami T, Mutoh Y, Nakachi I, Baba R, Nishi K, Tani M, Kagyo J, Hashiguchi M, Oguma T, Asano K, Nishikawa M, Watanabe H, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K: Propensity-Score Matched Analysis of the Effectiveness of Baricitinib in Patients With Coronavirus Disease 2019 (COVID-19) Using Nationwide Real-World Data: An Observational Matched Cohort Study From the Japan COVID-19 Task Force. Open forum infectious diseases. 2023.07; 10 (7): ofad311. ( PubMed , DOI )

  18. Ozawa T, Asakura T, Chubachi S, Namkoong H, Tanaka H, Lee K, Fukushima T, Otake S, Nakagawara K, Watase M, Masaki K, Kamata H, Ishii M, Hasegawa N, Harada N, Ueda T, Ueda S, Ishiguro T, Arimura K, Saito F, Yoshiyama T, Nakano Y, Mutoh Y, Suzuki Y, Edahiro R, Murakami K, Okada Y, Koike R, Kitagawa Y, Tokunaga K, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K, Japan COVID-19 Task Force: Use of the neutrophil-to-lymphocyte ratio and an oxygen requirement to predict disease severity in patients with COVID-19. Respiratory investigation. 2023.07; 61 (4): 454-459. ( PubMed , DOI )

  19. Latorre AAE, Nakamura K, Seino K, Hasegawa T.: Vector autoregression for forecasting the number of COVID-19 cases and analyzing behavioral indicators in the Philippines: an ecologic time-trend study, JMIR Form Res . 2023.06; 7 e46357. ( DOI )

  20. Toshiki Sera, Norio Otani, Hideo Bannai, Takanori Hasegawa, Takehiro Umemura, Hideki Honda, Akio Kimura: The current status of emergency departments in secondary emergency medical institutions in Japan: a questionnaire survey. International Journal of Emergency Medicine. 2023.06; 16 (1): 40. ( PubMed , DOI )

  21. Ryuya Edahiro, Yuya Shirai, Yusuke Takeshima, Shuhei Sakakibara, Yuta Yamaguchi, Teruaki Murakami, Takayoshi Morita, Yasuhiro Kato, Yu-Chen Liu, Daisuke Motooka, Yoko Naito, Ayako Takuwa, Fuminori Sugihara, Kentaro Tanaka, James B Wing, Kyuto Sonehara, Yoshihiko Tomofuji; Japan COVID-19 Task Force; Ho Namkoong, Hiromu Tanaka, Ho Lee, Koichi Fukunaga, Haruhiko Hirata, Yoshito Takeda, Daisuke Okuzaki, Atsushi Kumanogoh, Yukinori Okada: Single-cell analyses and host genetics highlight the role of innate immune cells in COVID-19 severity. Nat Genet. 2023.05; 55 (5): 753-767. ( PubMed , DOI )

  22. Azekawa S, Chubachi S, Asakura T, Namkoong H, Sato Y, Edahiro R, Lee H, Tanaka H, Otake S, Nakagawara K, Fukushima T, Watase M, Sakurai K, Kusumoto T, Masaki K, Kamata H, Ishii M, Hasegawa N, Okada Y, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K, Japan COVID-19 Task Force: Serum KL-6 levels predict clinical outcomes and are associated with MUC1 polymorphism in Japanese patients with COVID-19. BMJ open respiratory research. 2023.05; 10 (1): ( PubMed , DOI )

  23. Yamaguchi K, Nakagawa S, Saku A, Isobe Y, Yamaguchi R, Sheridan P, Takane K, Ikenoue T, Zhu C, Miura M, Okawara Y, Nagatoishi S, Kozuka-Hata H, Oyama M, Aikou S, Ahiko Y, Shida D, Tsumoto K, Miyano S, Imoto S, Furukawa Y: Bromodomain protein BRD8 regulates cell cycle progression in colorectal cancer cells through a TIP60-independent regulation of the pre-RC complex. iScience. 2023.04; 26 (4): 106563. ( PubMed , DOI )

  24. Kitagawa A, Osawa T, Noda M, Kobayashi Y, Aki S, Nakano Y, Saito T, Shimizu D, Komatsu H, Sugaya M, Takahashi J, Kosai K, Takao S, Motomura Y, Sato K, Hu Q, Fujii A, Wakiyama H, Tobo T, Uchida H, Sugimachi K, Shibata K, Utsunomiya T, Kobayashi S, Ishii H, Hasegawa T, Masuda T, Matsui Y, Niida A, Soga T, Suzuki Y, Miyano S, Aburatani H, Doki Y, Eguchi H, Mori M, Nakayama KI, Shimamura T, Shibata T, Mimori K: Convergent genomic diversity and novel BCAA metabolism in intrahepatic cholangiocarcinoma. British journal of cancer. 2023.04; 128 (12): 2206-2217. ( PubMed , DOI )

  25. Kaburagi T, Shiba N, Yamato G, Yoshida K, Tabuchi K, Ohki K, Ishikita E, Hara Y, Shiraishi Y, Kawasaki H, Sotomatsu M, Takizawa T, Taki T, Kiyokawa N, Tomizawa D, Horibe K, Miyano S, Taga T, Adachi S, Ogawa S, Hayashi Y: UBTF-internal tandem duplication as a novel poor prognostic factor in pediatric acute myeloid leukemia. Genes, chromosomes & cancer. 2023.04; 62 (4): 202-209. ( PubMed , DOI )

  26. Washimi K, Kasajima R, Shimizu E, Sato S, Okubo Y, Yoshioka E, Narimatsu H, Hiruma T, Katayama K, Yamaguchi R, Yamaguchi K, Furukawa Y, Miyano S, Imoto S, Yokose T, Miyagi Y: Histological markers, sickle-shaped blood vessels, myxoid area, and infiltrating growth pattern help stratify the prognosis of patients with myxofibrosarcoma/undifferentiated sarcoma. Scientific reports. 2023.04; 13 (1): 6744. ( PubMed , DOI )

  27. Nakagawara K, Kamata H, Chubachi S, Namkoong H, Tanaka H, Lee H, Otake S, Fukushima T, Kusumoto T, Morita A, Azekawa S, Watase M, Asakura T, Masaki K, Ishii M, Endo A, Koike R, Ishikura H, Takata T, Matsushita Y, Harada N, Kokutou H, Yoshiyama T, Kataoka K, Mutoh Y, Miyawaki M, Ueda S, Ono H, Ono T, Shoko T, Muranaka H, Kawamura K, Mori N, Mochimaru T, Fukui M, Chihara Y, Nagasaki Y, Okamoto M, Amishima M, Odani T, Tani M, Nishi K, Shirai Y, Edahiro R, Ando A, Hashimoto N, Ogura S, Kitagawa Y, Kita T, Kagaya T, Kimura Y, Miyazawa N, Tsuchida T, Fujitani S, Murakami K, Sano H, Sato Y, Tanino Y, Otsuki R, Mashimo S, Kuramochi M, Hosoda Y, Hasegawa Y, Ueda T, Takaku Y, Ishiguro T, Fujiwara A, Kuwahara N, Kitamura H, Hagiwara E, Nakamori Y, Saito F, Kono Y, Abe S, Ishii T, Ohba T, Kusaka Y, Watanabe H, Masuda M, Watanabe H, Kimizuka Y, Kawana A, Kasamatsu Y, Hashimoto S, Okada Y, Takano T, Katayama K, Ai M, Kumanogoh A, Sato T, Tokunaga K, Imoto S, Kitagawa Y, Kimura A, Miyano S, Hasegawa N, Ogawa S, Kanai T, Fukunaga K, Japan COVID-19 Task Force: Diagnostic significance of secondary bacteremia in patients with COVID-19. Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy. 2023.04; 29 (4): 422-426. ( PubMed , DOI )

  28. Nakagawara K, Kamata H, Chubachi S, Namkoong H, Tanaka H, Lee H, Otake S, Fukushima T, Kusumoto T, Morita A, Azekawa S, Watase M, Asakura T, Masaki K, Ishii M, Endo A, Koike R, Ishikura H, Takata T, Matsushita Y, Harada N, Kokutou H, Yoshiyama T, Kataoka K, Mutoh Y, Miyawaki M, Ueda S, Ono H, Ono T, Shoko T, Muranaka H, Kawamura K, Mori N, Mochimaru T, Fukui M, Chihara Y, Nagasaki Y, Okamoto M, Amishima M, Odani T, Tani M, Nishi K, Shirai Y, Edahiro R, Ando A, Hashimoto N, Ogura S, Kitagawa Y, Kita T, Kagaya T, Kimura Y, Miyazawa N, Tsuchida T, Fujitani S, Murakami K, Sano H, Sato Y, Tanino Y, Otsuki R, Mashimo S, Kuramochi M, Hosoda Y, Hasegawa Y, Ueda T, Takaku Y, Ishiguro T, Fujiwara A, Kuwahara N, Kitamura H, Hagiwara E, Nakamori Y, Saito F, Kono Y, Abe S, Ishii T, Ohba T, Kusaka Y, Watanabe H, Masuda M, Watanabe H, Kimizuka Y, Kawana A, Kasamatsu Y, Hashimoto S, Okada Y, Takano T, Katayama K, Ai M, Kumanogoh A, Sato T, Tokunaga K, Imoto S, Kitagawa Y, Kimura A, Miyano S, Hasegawa N, Ogawa S, Kanai T, Fukunaga K, Japan COVID-19 Task Force: Impact of respiratory bacterial infections on mortality in Japanese patients with COVID-19: a retrospective cohort study. BMC pulmonary medicine. 2023.04; 23 (1): 146. ( PubMed , DOI )

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  3. Ho Lee, Shotaro Chubachi, Ho Namkoong, Takanori Asakura, Hiromu Tanaka, Shiro Otake, Kensuke Nakagawara, Atsuho Morita, Takahiro Fukushima, Mayuko Watase, Tatsuya Kusumoto, Katsunori Masaki, Hirofumi Kamata, Makoto Ishii, Naoki Hasegawa, Norihiro Harada, Tetsuya Ueda, Soichiro Ueda, Takashi Ishiguro, Ken Arimura, Fukuki Saito, Takashi Yoshiyama, Yasushi Nakano, Yoshikazu Mutoh, Yusuke Suzuki, Koji Murakami, Yukinori Okada, Ryuji Koike, Yuko Kitagawa, Akinori Kimura, Seiya Imoto, Satoru Miyano, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga, : Characteristics of hospitalized patients with COVID-19 during the first to fifth waves of infection: a report from the Japan COVID-19 Task Force. BMC Infect Dis. 2022.12; 22 (1): 935. ( PubMed , DOI )

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  4. Kaname Kojima, Yosuke Kawai, Naoki Nariai, Takahiro Mimori, Takanori Hasegawa, Masao Nagasaki: Short Tandem Repeat Number Estimation from Paired-end Sequence Reads by Considering Unobserved Genealogy of Multiple Individuals BIOINFORMATICS RESEARCH AND APPLICATIONS. 2015; 9096 422-423.

  1. Hasegawa T, Mori T, Yamaguchi R, Imoto S, Miyano S, Akutsu T: An efficient data assimilation schema for restoration and extension of gene regulatory networks using time-course observation data. Journal of computational biology : a journal of computational molecular cell biology. 2014.11; 21 (11): 785-98. ( PubMed , DOI )

  2. Takashi Kamatani, Hiroyoshi Iguchi, Takemichi Okada, Hitoshi Yamazaki, Hidekazu Tsunoda, Masaaki Watanabe, Masaya Oda, Makoto Ohbu, Hiroaki Yokomori: Co-registered positron emission tomography/computed tomography and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid magnetic resonance imaging features of multiple angiosarcoma of the liver. Hepatol Res. 2014.10; 44 (10): E297-E303. ( PubMed , DOI )

  3. Hasegawa T, Nagasaki M, Yamaguchi R, Imoto S, Miyano S: An efficient method of exploring simulation models by assimilating literature and biological observational data. Bio Systems. 2014.07; 121 54-66. ( PubMed , DOI )

  4. Hasegawa T, Yamaguchi R, Nagasaki M, Miyano S, Imoto S: Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization. PloS one. 2014; 9 (8): e105942. ( PubMed , DOI )

  1. Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano: Poster: Comprehensive pharmacogenomic pathway screening by data assimilation IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences(ICCABS). 2011.02; 246.

  2. Hasegawa, T; Yamaguchi, R; Nagasaki, M; Imoto, S; Miyano, S: Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation BIOINFORMATICS RESEARCH AND APPLICATIONS. 2011; 6674 160-171.

  3. Takanori Hasegawa, Rui Yamaguchi, Masao Nagasaki, Seiya Imoto, Satoru Miyano: Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation BIOINFORMATICS RESEARCH AND APPLICATIONS. 2011; 6674 160-171.

  1. 立石知也, 立石知也, 玉岡明洋, 高木俊輔, 長谷川嵩矩, 高橋邦彦, 宮崎泰成: 閉塞性睡眠時無呼吸症が自動車運転操作に与える影響の研究 日本睡眠学会定期学術集会プログラム・抄録集. 2024.07; 48th

  2. 稲葉 俊介, 萬代 新太郎, 長谷川 嵩矩, 中野 雄太, 内藤 省太郎, 松木 久住, 原 悠, 藤木 珠美, 菊池 寛昭, 森 雄太郎, 安藤 史顕, 森 崇寧, 須佐 紘一郎, 蘇原 映誠, 内田 信一: 循環細胞外小胞のmicroRNAシグネチャーによるCKDの進展予測法の開発 日本腎臓学会誌. 2024.06; 66 (4): 609. ( 医中誌 )

  3. 内御堂亮, 紙健二郎, 長谷川嵩矩, 若林健二: 時系列メタボロームデータを利用した重症COVID-19における代謝経路濃縮度の経時的変化の解析 日本集中治療医学会学術集会(Web). 2024.03; 51st

  1. Tanaka Hiromu, Namkoong Ho, Chubachi Shotaro, Irie Shinji, Uwamino Yoshifumi, Lee Ho, Azekawa Shuhei, Otake Shiro, Nakagawara Kensuke, Fukushima Takahiro, Watase Mayuko, Kusumoto Tatsuya, Masaki Katsunori, Kamata Hirofumi, Ishii Makoto, Okada Yukinori, Takano Tomomi, Imoto Seiya, Koike Ryuji, Kimura Akinori, Miyano Satoru, Ogawa Seishi, Kanai Takanori, Sato Taka-Aki, Fukunaga Koichi: Clinical characteristics of patients with COVID-19 harboring detectable intracellular SARS-CoV-2 RNA in peripheral blood cells INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES. 2023.10; 135 41-44. ( PubMed , DOI )

  2. 中村 啓二郎, 朱 欣, 原 英彦, 葉山 裕真, 諸井 雅男, 廣井 透雄: 循環器診療におけるAIの役割 Real World Data分析におけるAIの役割 多施設心不全データベースから検討 日本心臓病学会学術集会抄録. 2023.09; 71回 S2-4. ( 医中誌 )

  3. 中村 啓二郎, 朱 欣, 原 英彦, 葉山 裕真, 諸井 雅男, 廣井 透雄: 循環器診療におけるAIの役割 Real World Data分析におけるAIの役割 多施設心不全データベースから検討 日本心臓病学会学術集会抄録. 2023.09; 71回 S2-4. ( 医中誌 )

  4. Park Heewon, 宮野 悟: 【マルチオミクス データ駆動時代の疾患研究 がん、老化、生活習慣病 最新のオミクス統合で挑む標的探索と病態解明】(第2章)データ解析・統合のインフォマティクス 抗がん剤の感受性・耐性を説明する最適な遺伝子ネットワーク解析 実験医学. 2023.09; 41 (15): 2472-2477. ( 医中誌 )

  5. クローン性造血が新型コロナ感染症の重症化リスクに与える影響(The impact of clonal hematopoiesis on the risk of severe COVID-19) 2023.09; 82回 1761. ( 医中誌 )

  6. Kusumoto Tatsuya, Chubachi Shotaro, Namkoong Ho, Tanaka Hiromu, Lee Ho, Azekawa Shuhei, Otake Shiro, Nakagawara Kensuke, Fukushima Takahiro, Morita Atsuho, Watase Mayuko, Sakurai Kaori, Asakura Takanori, Masaki Katsunori, Kamata Hirofumi, Ishii Makoto, Hasegawa Naoki, Harada Norihiro, Ueda Tetsuya, Ueda Soichiro, Ishiguro Takashi, Arimura Ken, Saito Fukuki, Yoshiyama Takashi, Nakano Yasushi, Mutoh Yoshikazu, Suzuki Yusuke, Edahiro Ryuya, Sano Hirohito, Sato Yasunori, Okada Yukinori, Koike Ryuji, Kitagawa Yuko, Tokunaga Katsushi, Kimura Akinori, Imoto Seiya, Miyano Satoru, Ogawa Seishi, Kanai Takanori, Fukunaga Koichi: Association between ABO blood group/genotype and COVID-19 in a Japanese population ANNALS OF HEMATOLOGY. 2023.08; 102 (11): 3239-3249. ( PubMed , DOI )

  7. Yoshimura Takuma, Chiyoda Tatsuyuki, Kamatani Takashi, Takahashi Mio, Sakai Kensuke, Yoshihama Tomoko, Yamagami Wataru, Tsunoda Tatsuhiko, Aoki Daisuke: Proteasome inhibitors are promising novel therapeutic candidates for ovarian clear cell carcinoma BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY. 2023.06; 130 44-45.

  8. Yoshimura Takuma, Chiyoda Tatsuyuki, Kamatani Takashi, Takahashi Mio, Sakai Kensuke, Yoshihama Tomoko, Yamagami Wataru, Tsunoda Tatsuhiko, Aoki Daisuke: Proteasome inhibitors are promising novel therapeutic candidates for ovarian clear cell carcinoma BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY. 2023.06; 130 44-45.

  9. Irie Misato, Kabata Hiroki, Sasahara Kotaro, Kurihara Momoko, Shirasaki Yoshitaka, Kamatani Takashi, Baba Rie, Matsusaka Masako, Koga Satoshi, Masaki Katsunori, Miyata Jun, Araki Yasutomo, Kikawada Toru, Kabe Yasuaki, Suematsu Makoto, Yamagishi Mai, Uemura Sotaro, Moro Kazuyo, Fukunaga Koichi: Annexin A1 is a cell-intrinsic metalloregulator of zinc in human ILC2s CELL REPORTS. 2023.06; 42 (6): 112610. ( PubMed , DOI )

  10. Hamba Yu, Kamatani Takashi, Miya Fuyuki, Boroevich Keith A., Tsunoda Tatsuhiko: Topologically associating domain underlies tissue specific expression of long intergenic non-coding RNAs ISCIENCE. 2023.05; 26 (5): 106640. ( PubMed , DOI )

  11. Ikeda Naoki, Kubota Hiroaki, Suzuki Risa, Morita Mitsuki, Yoshimura Ayana, Osada Yuya, Kishida Keigo, Kitamura Daiki, Iwata Ayaka, Yotsumoto Satoshi, Kurotaki Daisuke, Nishimura Koutarou, Nishiyama Akira, Tamura Tomohiko, Kamatani Takashi, Tsunoda Tatsuhiko, Murakawa Miyako, Asahina Yasuhiro, Hayashi Yoshihiro, Harada Hironori, Harada Yuka, Yokota Asumi, Hirai Hideyo, Seki Takao, Kuwahara Makoto, Yamashta Masakatsu, Shichino Shigeyuki, Tanaka Masato, Asano Kenichi: The early neutrophil-committed progenitors aberrantly differentiate into immunoregulatory monocytes during emergency myelopoiesis CELL REPORTS. 2023.03; 42 (3): 112165. ( PubMed , DOI )

  1. Kameyama Naofumi, Sato Takashi, Arai Daisuke, Fujisawa Daisuke, Takeuchi Mari, Nakachi Ichiro, Kawada Ichiro, Yasuda Hiroyuki, Ikemura Shinnosuke, Terai Hideki, Nukaga Shigenari, Nakano Yasushi, Hirano Toshiyuki, Minematsu Naoto, Asakura Takanori, Kamatani Takashi, Tanaka Kyuto, Suzuki Shoji, Miyawaki Masayoshi, Naoki Katsuhiko, Fukunaga Koichi, Soejima Kenzo: Most Important Things and Associated Factors With Prioritizing Daily Life in Patients With Advanced Lung Cancer JCO ONCOLOGY PRACTICE. 2022.12; 18 (12): 851-+. ( PubMed , DOI )

  2. Park Heewon, Imoto Seiya, Miyano Satoru: PredictiveNetwork: predictive gene network estimation with application to gastric cancer drug response-predictive network analysis BMC BIOINFORMATICS. 2022.08; 23 (1): ( DOI )

  3. 入江 美聡, 加畑 宏樹, 松坂 雅子, 馬塲 里英, 鎌谷 高志, 正木 克宜, 白崎 善隆, 福永 興壱: 気管支喘息(成人):病態生理 ヒト2型自然リンパ球における内因性活性化制御機構の解明 アレルギー. 2022.08; 71 (6-7): 832. ( 医中誌 )

  4. 入江 美聡, 加畑 宏樹, 松坂 雅子, 馬塲 里英, 鎌谷 高志, 正木 克宜, 白崎 善隆, 福永 興壱: 気管支喘息(成人):病態生理 ヒト2型自然リンパ球における内因性活性化制御機構の解明 アレルギー. 2022.08; 71 (6-7): 832. ( 医中誌 )

  5. 馬塲 里英, 加畑 宏樹, 入江 美聡, 渡辺 理沙, 鎌谷 高志, 白崎 善隆, 山岸 舞, 福永 興壱: 気管支喘息(成人):病態生理 喘息患者の末梢血由来2型自然リンパ球のシングルセル解析 アレルギー. 2022.08; 71 (6-7): 832. ( 医中誌 )

  6. 鎌谷 高志, 福永 興壱: 医師主体のAI解析を成功させるために 呼吸器疾患を中心に アレルギー. 2022.08; 71 (6-7): 696. ( 医中誌 )

  7. 宮野 悟: 【ビッグデータ解析に基づくがんの統合的理解と治療戦略】総論 ビッグデータが変えたがんの理解 Medical Science Digest. 2022.08; 48 (9): 403-405. ( 医中誌 )

  8. Matsuo Hitoshi, Kamatani Takashi, Hamba Yu, Boroevich Keith A., Tsunoda Tatsuhiko: Association between high immune activity and worse prognosis in uveal melanoma and low-grade glioma in TCGA transcriptomic data BMC GENOMICS. 2022.05; 23 (1): 351. ( PubMed , DOI )

  9. 正木 克宜, 舘野 博喜, 亀山 直史, 鎌谷 高志, 福永 興壱: 本邦初の保険適用デジタル治療である禁煙治療スマホアプリの開発から社会実装まで 日本呼吸器学会誌. 2022.04; 11 (増刊): 131. ( 医中誌 )

  10. 正木 克宜, 舘野 博喜, 亀山 直史, 鎌谷 高志, 福永 興壱: 本邦初の保険適用デジタル治療である禁煙治療スマホアプリの開発から社会実装まで 日本呼吸器学会誌. 2022.04; 11 (増刊): 131. ( 医中誌 )

  11. 砂田 啓英也, 加畑 宏樹, 鎌谷 高志, 入江 美聡, 正木 克宜, 宮田 純, 福永 興壱: スタチンによるILC2を介した2型気道炎症の抑制機序の解明 日本呼吸器学会誌. 2022.04; 11 (増刊): 129. ( 医中誌 )

  12. 砂田 啓英也, 加畑 宏樹, 鎌谷 高志, 入江 美聡, 正木 克宜, 宮田 純, 福永 興壱: スタチンによるILC2を介した2型気道炎症の抑制機序の解明 日本呼吸器学会誌. 2022.04; 11 (増刊): 129. ( 医中誌 )

  13. 入江 美聡, 加畑 宏樹, 松坂 雅子, 馬塲 里英, 鎌谷 高志, 正木 克宜, 宮田 純, 白崎 善隆, 福永 興壱: LCI-Sを用いた2型自然リンパ球の新規制御機構の解明 日本呼吸器学会誌. 2022.04; 11 (増刊): 129. ( 医中誌 )

  14. 入江 美聡, 加畑 宏樹, 松坂 雅子, 馬塲 里英, 鎌谷 高志, 正木 克宜, 宮田 純, 白崎 善隆, 福永 興壱: LCI-Sを用いた2型自然リンパ球の新規制御機構の解明 日本呼吸器学会誌. 2022.04; 11 (増刊): 129. ( 医中誌 )

  15. Park Heewon, Yamaguchi Rui, Imoto Seiya, Miyano Satoru: Uncovering Molecular Mechanisms of Drug Resistance via Network-Constrained Common Structure Identification JOURNAL OF COMPUTATIONAL BIOLOGY. 2022.03; 29 (3): 257-275. ( DOI )

  16. 内御堂亮, 長谷川嵩矩, 若林健二: 重症新型コロナウィルス肺炎死亡予測のためのICU時系列データ解析 日本集中治療医学会学術集会(Web). 2022.03; 49th

  1. 箱崎 恭平, 田中 伸之, 高松 公晴, 高橋 遼平, 三上 修治, 篠島 利明, 垣見 和宏, 鎌谷 高志, 宮 冬樹, 角田 達彦, 西原 広史, 水野 隆一, 大家 基嗣: 腎細胞癌におけるAXL/GAS6発現の臨床的意義とがん免疫ゲノミクス解析 日本泌尿器科学会総会. 2021.12; 109回 AOP03-06. ( 医中誌 )

  2. Hakozaki Kyohei, Tanaka Nobuyuki, Takamatsu Kimiharu, Takahashi Ryohei, Yasumizu Yota, Mikami Shuji, Shinojima Toshiaki, Kakimi Kazuhiro, Kamatani Takashi, Miya Fuyuki, Tsunoda Tatsuhiko, Aimono Eriko, Nishihara Hiroshi, Mizuno Ryuichi, Oya Mototsugu: Landscape of prognostic signatures and immunogenomics of the AXL/GAS6 axis in renal cell carcinoma BRITISH JOURNAL OF CANCER. 2021.11; 125 (11): 1533-1543. ( PubMed , DOI )

  3. Takamatsu Kimiharu, Tanaka Nobuyuki, Hakozaki Kyohei, Takahashi Ryohei, Teranishi Yu, Murakami Tetsushi, Kufukihara Ryohei, Niwa Naoya, Mikami Shuji, Shinojima Toshiaki, Sasaki Takashi, Sato Yusuke, Kume Haruki, Ogawa Seishi, Kakimi Kazuhiro, Kamatani Takashi, Miya Fuyuki, Tsunoda Tatsuhiko, Aimono Eriko, Nishihara Hiroshi, Sawada Kazuaki, Imamura Takeshi, Mizuno Ryuichi, Oya Mototsugu: Profiling the inhibitory receptors LAG-3, TIM-3, and TIGIT in renal cell carcinoma reveals malignancy NATURE COMMUNICATIONS. 2021.09; 12 (1): 5547. ( PubMed , DOI )

  4. 内御堂 亮, 長谷川 嵩矩, 三島 有華, 塩田 修玄, 丸山 史, 長島 道生, 山内 英雄, 鵜川 豊世武, 宮野 悟, 重光 秀信: 機械学習を用いた重症新型コロナウィルス肺炎における死亡予測モデル作成の試み 日本集中治療医学会雑誌. 2021.09; 28 (Suppl.2): 337. ( 医中誌 )

  5. Ishioka Kota, Yasuda Hiroyuki, Hamamoto Junko, Terai Hideki, Emoto Katsura, Kim Tae-Jung, Hirose Shigemichi, Kamatani Takashi, Mimaki Sachiyo, Arai Daisuke, Ohgino Keiko, Tani Tetsuo, Masuzawa Keita, Manabe Tadashi, Shinozaki Taro, Mitsuishi Akifumi, Ebisudani Toshiki, Fukushima Takahiro, Ozaki Mari, Ikemura Shinnosuke, Kawada Ichiro, Naoki Katsuhiko, Nakamura Morio, Ohtsuka Takashi, Asamura Hisao, Tsuchihara Katsuya, Hayashi Yuichiro, Hegab Ahmed E., Kobayashi Susumu S., Kohno Takashi, Watanabe Hideo, Ornitz David M., Betsuyaku Tomoko, Soejima Kenzo, Fukunaga Koichi: Upregulation of FGF9 in Lung Adenocarcinoma Transdifferentiation to Small Cell Lung Cancer CANCER RESEARCH. 2021.07; 81 (14): 3916-3929. ( PubMed , DOI )

  6. 三澤 計治, 三島 英換, 長谷川 嵩矩, 大内 基司, 小島 要, 河合 洋介, 松尾 雅文, 安西 尚彦, 長崎 正朗: まれな変異に重点を置いた尿酸値の遺伝率の研究 痛風と尿酸・核酸. 2021.07; 45 (1): 23-30. ( 医中誌 )

  7. 中島 勇貴, 根本 大樹, 勝木 伸一, 林 芳和, 愛澤 正人, 歌野 健一, 竹澤 敬人, 相良 裕一, 朱 欣, 澁川 悟朗, 山本 博徳, 冨樫 一智: AIは何をみて大腸pT1bを診断しているか? Class Activation Mappingからみた検討 Gastroenterological Endoscopy. 2021.06; 63 (6): 1232-1240. ( 医中誌 )

  8. 宮野 悟: 【小児外科医が学ぶ人工知能(AI)・情報伝達技術(ICT)】ゲノム医療におけるAI技術活用 小児外科. 2021.04; 53 (4): 373-377. ( 医中誌 )

  9. 鈴木 惣一朗、伊東 聰、酒井 憲一郎、稲田 由江、三吉 郁夫、石川 裕、宮野 悟 : ヒト全ゲノム解析プログラム Genomon のスーパーコンピュータ「富岳」向け最適化と性能評価 情報処理学会研究報告ハイパフォーマンスコンピューティング(HPC) . 2021.03; 2021-HPC-178 (18): 1-9.

  10. 宮野 悟: メディカルデータサイエンスの現状 日本病理学会会誌. 2021.03; 110 (1): 133. ( 医中誌 )

  11. Park Heewon, 丸橋 弘治, 山口 類, 宮野 悟: 【新型データ駆動型サイエンスの起動】説明可能なAIによるパーソナルゲノム医療・予防の実現 医学のあゆみ. 2021.02; 276 (9): 849-853. ( 医中誌 )

  12. 長谷川 嵩矩: 【新型データ駆動型サイエンスの起動】腫瘍特異的ネオ抗原の数理的解析とがんの免疫病態解明への応用 医学のあゆみ. 2021.02; 276 (9): 855-859. ( 医中誌 )

  13. Nishiguchi Koji M., Miya Fuyuki, Mori Yuka, Fujita Kosuke, Akiyama Masato, Kamatani Takashi, Koyanagi Yoshito, Sato Kota, Takigawa Toru, Ueno Shinji, Tsugita Misato, Kunikata Hiroshi, Cisarova Katarina, Nishino Jo, Murakami Akira, Abe Toshiaki, Momozawa Yukihide, Terasaki Hiroko, Wada Yuko, Sonoda Koh-Hei, Rivolta Carlo, Tsunoda Tatsuhiko, Tsujikawa Motokazu, Ikeda Yasuhiro, Nakazawa Toru: A hypomorphic variant in EYS detected by genome-wide association study contributes toward retinitis pigmentosa COMMUNICATIONS BIOLOGY. 2021.01; 4 (1): 140. ( PubMed , DOI )

  14. 三森功士, 長山聡, 長谷川嵩矩, 新井田厚司, 小林雄太, 小林雄太, 増田隆明, 鈴木穣, 柴田龍弘: 大腸癌における転移巣形成への進化とctDNAで検出可能な変異の特徴 日本がん転移学会学術集会・総会プログラム抄録集. 2021; 30th

  1. 藤井 陽一, 佐藤 悠佑, 鈴木 啓道, 吉田 健一, 白石 友一, 西松 寛明, 岡根谷 利一, 牧島 秀樹, 川合 剛人, 中川 徹, 宮野 悟, 小川 誠司, 久米 春喜: 上部尿路上皮癌の変異に基づく分子病型分類とその臨床応用の可能性 日本泌尿器科学会総会. 2020.12; 108回 464. ( 医中誌 )

  2. 藤井 陽一, 佐藤 悠佑, 鈴木 啓道, 吉田 健一, 白石 友一, 西松 寛明, 岡根谷 利一, 牧島 秀樹, 川合 剛人, 中川 徹, 宮野 悟, 小川 誠司, 久米 春喜: 上部尿路上皮癌の変異に基づく分子病型分類 日本泌尿器科学会総会. 2020.12; 108回 884. ( 医中誌 )

  3. 高橋 遼平, 田中 伸之, 宮 冬樹, 鎌谷 高志, 武田 利和, 松本 一宏, 森田 伸也, 小坂 威雄, 水野 隆一, 三上 修治, 垣見 和宏, 角田 達彦, 大家 基嗣: 透析患者に発生する腎細胞癌のOmics解析と腫瘍免疫微小環境の統合的理解 日本泌尿器科学会総会. 2020.12; 108回 805. ( 医中誌 )

  4. 高橋 遼平, 田中 伸之, 宮 冬樹, 鎌谷 高志, 武田 利和, 松本 一宏, 森田 伸也, 小坂 威雄, 水野 隆一, 三上 修治, 垣見 和宏, 角田 達彦, 大家 基嗣: 透析患者に発生する腎細胞癌のOmics解析と腫瘍免疫微小環境の統合的理解 日本泌尿器科学会総会. 2020.12; 108回 805. ( 医中誌 )

  5. 前田 絢子, 吉野 鉄大, 片山 琴絵, 堀場 裕子, 引網 宏彰, 嶋田 豊, 並木 隆雄, 田原 英一, 南澤 潔, 村松 慎一, 山口 類, 井元 清哉, 宮野 悟, 美馬 秀樹, 三村 將, 中村 智徳, 渡辺 賢治: 虚実中間証を含む虚実証の予測モデル 日本東洋医学雑誌. 2020.10; 71 (4): 315-325. ( 医中誌 )

  6. 杉野 敏志, 吉田 直久, 朱 欣: AIを用いた次世代の内視鏡診療 人工知能によるBLIおよびLCIを用いた大腸観察によるポリープ検出能の向上 Gastroenterological Endoscopy. 2020.08; 62 (Suppl.1): 1125. ( 医中誌 )

  7. 三澤 計治, 長谷川 嵩矩, 三島 英換, Jutabha Promsuk, 大内 基司, 小島 要, 河合 洋介, 長崎 正朗, 安西 尚彦: 尿酸値の失われた遺伝率は、レアバリアントがかなりの部分を説明する 痛風と尿酸・核酸. 2020.07; 44 (1): 86. ( 医中誌 )

  8. 宮野 悟: 【ゲノム革命-予防・医療のイノベーション】ゲノム革命の足跡と予防・医療の近未来 公衆衛生. 2020.04; 84 (4): 214-219. ( 医中誌 )

  9. 宮野 悟: 【小児血液・腫瘍疾患の最前線】診療のトピックス 人工知能と白血病の診断・治療の展望 小児科診療. 2020.04; 83 (4): 479-483. ( 医中誌 )

  10. 三澤 計治, 長谷川 嵩矩, 三島 英換, Jutabha Promsuk, 大内 基司, 小島 要, 河合 洋介, 長崎 正朗, 安西 尚彦: 尿酸値の失われた遺伝率は、レアバリアントがかなりの部分を説明する 日本痛風・核酸代謝学会総会プログラム抄録集. 2020.01; 53回 66. ( 医中誌 )

  11. Kameyama N., Masaki K., Kamatani T., Fukunaga K., Tateno H.: The Factors Associated with Successful Induction of Smoking Cessation Using a Novel Smartphone Application System AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2020; 201

  12. Kameyama N, Masaki K, Kamatani T, Fukunaga K, Tateno H: The Factors Associated with Successful Induction of Smoking Cessation Using a Novel Smartphone Application System AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2020; 201

  1. 吉田 直久, 朱 欣, 根本 大樹, 山本 博徳, 伊藤 義人: 【AIが切り拓く医療の未来】Artificial IntelligenceによるComputer-Aided Diagnosisを用いた大腸内視鏡診療への期待 京都府立医科大学雑誌. 2019.06; 128 (6): 421-429. ( 医中誌 )

  2. 吉田 直久, 朱 欣, 根本 大樹, 山本 博徳, 伊藤 義人: 【AIが切り拓く医療の未来】Artificial IntelligenceによるComputer-Aided Diagnosisを用いた大腸内視鏡診療への期待 京都府立医科大学雑誌. 2019.06; 128 (6): 421-429. ( 医中誌 )

  3. Kuwae M, Matsusaka M, Yamagishi M, Koga S, Miyata K, Kamatani T, Tanaka Y, Araki Y, Kikawada T, Moro K, Moro S, Shirasaki Y, Fukunaga K: Gene Expression Analysis of Activated Human ILC2s Based on "Single Cell Secretion Activity Analysis System (LCI-S)" AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2019; 199

  4. Kuwae M., Matsusaka M., Yamagishi M., Koga S., Miyata K., Kamatani T., Tanaka Y., Araki Y., Kikawada T., Moro K., Moro S., Shirasaki Y., Fukunaga K.: Gene Expression Analysis of Activated Human ILC2s Based on "Single Cell Secretion Activity Analysis System (LCI-S)" AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2019; 199

  5. 朱 欣, 八木 透, 片山 統裕, 塩澤 成弘, 内山 孝憲: 巻頭言:特集号「LE2018シンポジウム特集号」について 計測自動制御学会論文集. 2019; 55 (9): 519. ( DOI )

  6. 鎌谷高志: 医学、医療におけるAIのインパクト 日本産婦人科医会報. 2019; (8・9合併):

  7. 鎌谷高志: 医学、医療におけるAIのインパクト 日本産婦人科医会報. 2019; (8・9合併):

  1. Hasegawa Takanori, Kojima Kaname, Kawai Yosuke, Nagasaki Masao: Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation IEEE TRANSACTIONS ON SIGNAL PROCESSING. 2018.12; 66 (23): 6148-6161. ( DOI )

  2. PCAWGデータを用いた予後バイオマーカーの網羅的探索(Comprehensive Search for Prognostic Biomarkers using PCAWG Data) 2018.09; 77回 358. ( 医中誌 )

  3. 肝臓がんにおける免疫抑制機構のゲノム解析(Genomic insights into immune suppression in liver cancer) 2018.09; 77回 906. ( 医中誌 )

  4. 藤田 征志, 井元 清哉, 山口 類, 長谷川 嵩矩, 林 周斗, 宮野 悟, 松原 長秀, 冨田 尚裕, 山上 裕機, 茶山 一彰, 中川 英刀: 肝臓がんおよび大腸がんのゲノム・トランスクリプトーム解析による腫瘍免疫微小環境の特性評価 日本がん免疫学会総会プログラム・抄録集. 2018.07; 22回 152. ( 医中誌 )

  5. 朱 欣, 中村 啓二郎, 周 雪, 野呂 眞人: 診断から更なるリスク評価へ-心電情報の深化と統合- 深層学習による心電図の自動解析プログラムに関する研究 一次報告 心電図. 2018.03; 38 (Suppl.1): S-42. ( 医中誌 )

  6. 三澤計治, 三澤計治, 三島英換, 大内基司, 長谷川嵩矩, 小島要, 小島要, 河合洋介, 長崎正朗, 長崎正朗, 安西尚彦, 安西尚彦, 阿部高明, 山本雅之, 山本雅之: レアバリアントが尿酸値の失われた遺伝率のかなりの割合を説明する 日本人類遺伝学会大会プログラム・抄録集. 2018; 63rd

  7. 長谷川嵩矩, 新井田厚司, 山口類, 井元清哉: 状態空間モデルを用いた時系列ヘルスケアデータの解析と応用 統計関連学会連合大会講演報告集. 2018; 2018

  1. 鎌谷 高志, 福永 興壱: 【重症喘息-基礎から臨床まで-】 重症喘息の診断基準と病型分類 最新医学. 2017.07; 72 (7): 943-949. ( 医中誌 )

  2. 長谷川嵩矩, 新井田厚司, 山口類, 井元清哉: L1正則化付き状態空間モデルを用いた健診結果の将来予測 統計関連学会連合大会講演報告集. 2017; 2017

  1. 朱欣: AIによる形態解析 日本骨形態計測学会雑誌. 2024; 34 (1):

  2. 朱欣: AI医療:歴史,現在,これからの挑戦 福島医学雑誌(Web). 2024; 74 (1):

  1. Sex Difference in Atrial Fibrillation Recurrence After Catheter Ablation 2023.11; ( DOI )

  2. Effectiveness of FEES with artificial intelligence-assisted computer-aided diagnosis 2023.11; ( DOI )

  3. An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study 2023.08; 12 (17): 3652. ( DOI )

  4. A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing 2023.08; ( DOI )

  5. Signal Quality Analysis of Single-Arm Electrocardiography 2023.06; ( DOI )

  6. 朝田瑞穂, 朝田瑞穂, 長谷川嵩矩, 神山圭, 金森眸, 山本寛人, 内田篤治郎: ディープラーニングを利用した術中の経時的な筋弛緩深度予測法の開発 日本麻酔科学会学術集会(Web). 2023.06; 70th

  7. 長谷川嵩矩: TCR-抗原特異性の予測に向けた技術的進展と取り組み 電気泳動(Web). 2023.05; 67 (Suppl):

  8. Automated Detection of Endometrial Polyps from Hysteroscopic Videos Using Deep Learning 2023.04; ( DOI )

  9. Attention Mechanism Trained with Small Datasets for Biomedical Image Segmentation 2023.01; ( DOI )

  10. 中島勇貴, 中島勇貴, 根本大樹, 根本大樹, 勝木伸一, 竹澤敬人, 林芳和, 郭哲, 張ルイヤオ, 趙又申, 朱欣, 冨樫一智, 冨樫一智: p-T1b大腸癌の内視鏡診断におけるAIの特徴:IoUによる定量的検討 日本大腸肛門病学会雑誌(Web). 2023; 76 (9):

  11. 中島勇貴, 根本大樹, 勝木伸一, 竹澤敬人, 林芳和, 郭哲, 張ルイヤオ, 趙又申, 朱欣, 冨樫一智: p-T1b大腸癌の内視鏡診断における関心領域:AIと内視鏡医の相違点に関する検討 Gastroenterological Endoscopy (Web). 2023; 65 (Supplement1):

  12. 朱欣: 植込み型除細動器除細動効果の推定システム 会津大学シーズ集. 2023; 2023

  13. 朱欣: 深層学習を用いた大腸ポリープ検出・解析支援システム 会津大学シーズ集. 2023; 2023

  14. 朱欣: 心電図を用いた呼吸検出方法 会津大学シーズ集. 2023; 2023

  15. 中村啓二郎, 朱欣, 榎本善成, 原英彦, 諸井雅男, 杉薫, 中村正人: 実診療データの解析に対して人工知能は完全に汎用的方法か 日本循環器学会学術集会(Web). 2023; 87th

  16. 朱欣: センサーネットワークを用いた携帯型イベント心電計 会津大学シーズ集. 2023; 2023

  17. 土肥統, 吉田直久, 朱欣: 人工知能によるLinked Color Imaging下での早期胃癌検出能の向上 Gastroenterological Endoscopy (Web). 2023; 65 (Supplement1):

  18. Automatic Edge Detection in Echocardiographic Doppler Images Using an Improved Canny Algorithm. 2023; 210-215. ( DOI )

  1. 中村啓二郎, 朱欣, 豊田康剛, 榎本善成, 原英彦, 諸井雅男, 野呂眞人, 杉薫, 中村正人: 深層学習を用いた心不全患者に対する時変共変量を伴う死亡率予測のリスク 日本循環器学会学術集会(Web). 2022.11; 12 (12): 2947. ( DOI )

  2. Baba R, Kabata H, Shirasaki Y, Kamatani T, Yamagishi M, Irie M, Watanabe R, Matsusaka M, Masaki K, Miyata J, Moro K, Uemura S, Fukunaga K: Upregulation of IL-4 receptor signaling pathway in circulating ILC2s from asthma patients The journal of allergy and clinical immunology. Global. 2022.11; 1 (4): 299-304. ( PubMed , DOI )

  3. High-speed all-optic optical coherence tomography and photoacoustic microscopy dual-modal system for microcirculation evaluation 2022.07; 15 (4): ( DOI )

  4. Automatic segmentation of foveal avascular zone based on adaptive watershed algorithm in retinal optical coherence tomography angiography images 2022.01; 15 (1): ( DOI )

  5. Prediction of Hospitalization Cost and Length of Stay for Patients with Heart Failure Using Deep Learning 2022; 158-161. ( DOI )

  6. Gender Difference in Prognosis of Patients with Heart Failure: A Propensity Score Matching Analysis 2022; ( DOI )

  7. Femoral segmentation of MRI images using PP-LiteSeg 2022; ( DOI )

  1. A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network 2021.04; 16 (4 April): ( PubMed , DOI )

  2. Detection of Hysteroscopic Hysteromyoma in Real-Time Based on Deep Learning 2021.04; 1861 (1): ( DOI )

  3. An Arrhythmic Mutation E7K Facilitates TRPM4 Channel Activation via Enhanced PIP2 Interaction 2021.04; 10 (5): ( PubMed , DOI )

  4. Automatic combination strategy search in segmentation of Cardiac T1 mapping image 2021.03; 811-816. ( DOI )

  5. Which region does artificial intelligence look at to predict t1b colorectal cancer? analysis based on class activation mapping 2021; 63 (6): 1232-1240. ( DOI )

  6. INet: Convolutional Networks for Biomedical Image Segmentation 2021; 9 16591-16603. ( DOI )

  1. Semantic segmentation of femur bone from MRI images of patients with hematologic malignancies 2020.11; 2020-November 1090-1094. ( DOI )

  2. Effects of myocardial fat's thickness and myocardial impedance on bipolar radiofrequency cathode ablation 2020.11; 2020-November 47-51. ( DOI )

  3. Determination of T Wave End by Multi-input Deep Learning Model 2020.10; 898-902. ( DOI )

  4. An Integrated Design of Multi-Channel ECG Sensor on Smart Garment 2020.09; 316-320. ( DOI )

  5. Sa2046 WHICH REGION DOES ARTIFICIAL INTELLIGENCE LOOK AT TO PREDICT T1B COLORECTAL CANCER?: ANALYSIS BASED ON CLASS ACTIVATION MAPPING. 2020.06; 91 (6): AB257-AB258. ( DOI )

  6. Reduce False-Positive Rate by Active Learning for Automatic Polyp Detection in Colonoscopy Videos 2020.04; 2020-April 1655-1658. ( DOI )

  1. Sleep Stage Classification Based on EEG, EOG, and CNN-GRU Deep Learning Model 2019.10; ( DOI )

  2. Integrating intra-And intercellular simulation of a 2d hl-1 cardiac model based on embedded gpus 2019.10; 236-240. ( DOI )

  3. ALPHLARD-NT: Bayesian Method for Human Leukocyte Antigen Genotyping and Mutation Calling through Simultaneous Analysis of Normal and Tumor Whole-Genome Sequence Data 2019.09; 26 (9): 923-937. ( DOI )

  4. Accelerate Mini-batch Machine Learning Training With Dynamic Batch Size Fitting 2019.07; 2019-July ( DOI )

  5. Automatic Sleep Stage Classification Based on Convolutional Neural Networks 2019.03; 275-276. ( DOI )

  6. Detect the Premature Ventricular Contraction Using Recurrent Neural Networks 2019.03; 53 e4-e5. ( DOI )

  7. 長谷川嵩矩, 新井田厚司, 山口類, 井元清哉: 機械学習を用いた時系列ヘルスケアデータの解析と応用 統計関連学会連合大会講演報告集. 2019; 2019

  8. Automatic polyp recognition from Colonoscopy images based on bag of visual words 2019; 16 (1): 69-81. ( DOI )

  1. ALPHLARD: a Bayesian method for analyzing HLA genes from whole genome sequence data 2018.11; 19 (1): ( DOI )

  2. Parallel acceleration on simulation of a 2D Takeuchi electrophysiology cardiac model using GPUs 2018.03; 2018-January 2665-2668. ( DOI )

  3. A study on the simulation of HL-1 unicellular model based on numerical methods 2018.02; 2018-January 1-5. ( DOI )

  4. Energy efficient simulation computing of electrocardiogram with TK1 Board 2018.02; 45 (1): 177-187.

  5. 奥隅真一, 福永興壱, 宮田純, 持丸貴生, 渡辺理沙, 松坂雅子, 田野崎貴絵, 鎌谷高志, 馬塲里英, 桑江美聡, 上田壮一郎, 有田誠, 別役智子: ヒト好酸球における自然免疫応答を介したシステイニルロイコトリエン(CysLTs)産生への影響 日本呼吸器学会誌(Web). 2018; 7

  6. 桑江美聡, 福永興壱, 鎌谷高志, 渡辺理沙, 奥隅真一, 馬塲里英, 田野崎貴絵, 松坂雅子, 持丸貴生, 上田壮一郎, 鈴木雄介, 浅野浩一郎, 別役智子: 日本人重症喘息群における増悪因子に基づいたフェノタイプ分類 日本呼吸器学会誌(Web). 2018; 7

  7. 渡辺理沙, 福永興壱, 馬塲里英, 鎌谷高志, 桑江美聡, 奥隅真一, 田野崎貴絵, 松坂雅子, 持丸貴生, 加畑宏樹, 上田壮一郎, 鈴木雄介, 浅野浩一郎, 別役智子: 日本人重症喘息患者における難治化因子数が病態コントロールに与える影響 日本呼吸器学会誌(Web). 2018; 7

  1. 馬塲里英, 福永興壱, 白崎善隆, 宮田楓, 松坂雅子, 加畑宏樹, 鎌谷高志, 奥隅真一, 田野崎貴絵, 持丸貴生, 上田壮一郎, 茂呂和世, 上村想太郎, 別役智子: 1細胞分泌実時間イメージング法を用いたヒト末梢血2型自然リンパ球の検討 日本呼吸器学会誌(Web). 2017; 6

  2. 松坂雅子, 福永興壱, 加畑宏樹, 加川志津子, 持丸貴生, 田野崎貴絵, 鎌谷高志, 馬塲里英, 奥隅真一, 上田壮一郎, 別役智子: Group2 innate lumphoid cell(ILC2)に対する嫌酒薬による抑制効果の検討 日本呼吸器学会誌(Web). 2017; 6

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