Personnel Information

写真a

KAMATANI Takashi


Job title

Junior Associate Professor
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Graduating School 【 display / non-display 】

  • Keio University, Faculty of Medicine, 2010.03, Graduated

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Campus Career 【 display / non-display 】

  • 2018.04
    -
    2018.05
    Tokyo Medical and Dental University， Medical Research Institute， Medical Genomics， Medical Science Mathematics， Project Assistant Professor
  • 2018.06
    -
    2019.03
    Tokyo Medical and Dental University， Medical Research Institute， Medical Genomics， Medical Science Mathematics， Assistant Professor
  • 2019.05
    -
    2020.03
    Tokyo Medical and Dental University， Graduate School of Medical and Dental Sciences， Medical and Dental Sciences， -， -， Visiting Lecturer
  • 2020.05
    -
    2020.08
    Tokyo Medical and Dental University， Graduate School of Medical and Dental Sciences， Medical and Dental Sciences， -， -， Visiting Lecturer
  • 2020.09
    -
    2021.04
    Tokyo Medical and Dental University， Medical Research Institute， Medical Genomics， Medical Science Mathematics， Visiting Lecturer
  • 2021.05
    -
    2022.03
    Tokyo Medical and Dental University， Medical Research Institute， Medical Genomics， Medical Science Mathematics， Visiting Lecturer
  • 2022.04
    -
    Now
    Tokyo Medical and Dental University， M&D Data Science Center， ， Department of AI Technology Development， Junior Associate Professor

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External Career 【 display / non-display 】

  • 2010.04
    -
    2012.03
    , Trainee Resident
  • 2012.04
    -
    2013.03
    , Assistant Professor
  • 2013.04
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    2014.03
    , Assistant Professor
  • 2014.04
    -
    2018.03
    , Assistant Professor
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Research Areas 【 display / non-display 】

  • Respiratory medicine

  • Medical biochemistry

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Qualification Acquired 【 display / non-display 】

  • Doctor

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Published Papers & Misc 【 display / non-display 】

  1. 1. Kameyama N, Sato T, Arai D, Fujisawa D, Takeuchi M, Nakachi I, Kawada I, Yasuda H, Ikemura S, Terai H, Nukaga S, Nakano Y, Hirano T, Minematsu N, Asakura T, Kamatani T, Tanaka K, Suzuki S, Miyawaki M, Naoki K, Fukunaga K, Soejima K. Most important things and associated factors with prioritizing ‘daily life’ in patients with advanced lung cancer JCO Oncology Practice. 2022;

  2. 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;

  3. Du R, Xie S, Fang Y, Igarashi-Yokoi T, Moriyama M, Ogata S, Tsunoda T, Kamatani T, Yamamoto S, Cheng CY, Saw SM, Ting D, Wong TY, Ohno-Matsui K. Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images. Ophthalmology. Retina. 2021.12; 5 (12): 1235-1244. ( PubMed, DOI )

  4. Masaki K, Miyata J, Kamatani T, Tanosaki T, Mochimaru T, Kabata H, Suzuki Y, Asano K, Betsuyaku T, Fukunaga K. Risk factors for poor adherence to inhaled corticosteroid therapy in patients with moderate to severe asthma. Asian Pacific journal of allergy and immunology. 2020.06; ( PubMed, DOI )

  5. Goto Shinichi, Kimura Mai, Katsumata Yoshinori, Goto Shinya, Kamatani Takashi, Ichihara Genki, Ko Seien, Sasaki Junichi, Fukuda Keiichi, Sano Motoaki. Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients PLOS ONE. 2019.01; 14 (1): e0210103. ( PubMed, DOI )

  6. Sakurai Kaori, Chubachi Shotaro, Irie Hidehiro, Tsutsumi Akihiro, Kameyama Naofumi, Kamatani Takashi, Koh Hidefumi, Terashima Takeshi, Nakamura Hidetoshi, Asano Koichiro, Betsuyaku Tomoko. Clinical utility of blood neutrophil-lymphocyte ratio in Japanese COPD patients BMC PULMONARY MEDICINE. 2018.05; 18 (1): 65. ( PubMed, DOI )

  7. Mochimaru T., Fukunaga K., Kuwae M., Watanabe R., Okuzumi S., Baba R., Kamatani T., Tanosaki T., Matsusaka M., Ueda S., Betsuyaku T.. Neutrophil to Lymphocyte Ratio Is a Novel Predictor of Severe Exacerbation in Asthma Patients AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2018; 197

  8. Kamatani Takashi, Fukunaga Koichi, Miyata Kaede, Shirasaki Yoshitaka, Tanaka Junji, Baba Rie, Matsusaka Masako, Kamatani Naoyuki, Moro Kazuyo, Betsuyaku Tomoko, Uemura Sotaro. Construction of a system using a deep learning algorithm to count cell numbers in nanoliter wells for viable single-cell experiments SCIENTIFIC REPORTS. 2017.12; 7 (1): 16831. ( PubMed, DOI )

  9. Katsunori Masaki, Koichi Fukunaga, Masako Matsusaka, Hiroki Kabata, Takae Tanosaki, Takao Mochimaru, Takashi Kamatani, Kengo Ohtsuka, Rie Baba, Soichiro Ueda, Yusuke Suzuki, Fumio Sakamaki, Yoshitaka Oyamada, Takashi Inoue, Tsuyoshi Oguma, Koichi Sayama, Hidefumi Koh, Morio Nakamura, Akira Umeda, Katsuhiko Kamei, Kenji Izuhara, Koichiro Asano, Tomoko Betsuyaku. Characteristics of severe asthma with fungal sensitization. Ann Allergy Asthma Immunol. 2017.09; 119 (3): 253-257. ( PubMed, DOI )

  10. Takashi Kamatani, Takemichi Okada, Hiroyoshi Iguchi, Yoshihito Takahashi, Hiroaki Yokomori. Liver abscess caused by Salmonella choleraesuis. Int J Gen Med. 2015; 8 155-161. ( PubMed, DOI )

  11. 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 )

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Conference Activities & Talks 【 display / non-display 】

  1. Shirasaki Yoshitaka, Motomura Yasutaka, Kamatani Takashi, Kabata Hiroki, Fukunaga Koichi, Moro Kazuyo. Single-cell analysis of gene expression transition of ILC2 associated with the exertion of secretory function(和訳中). 日本免疫学会総会・学術集会記録 2021.11.01

  2. 鎌谷 高志, 平田 真, 植田 幸嗣, 片山 琴絵, 山口 類, 松原 大祐, 藤田 征志, 高澤 豊, 山下 享子, 中村 卓郎, 井元 清哉, 宮野 悟, 中川 英刀, 松田 浩一, 角田 達彦. 粘液型脂肪肉腫におけるがん微小環境の免疫学的解析. 日本癌学会総会記事 2020.10.01

  3. 小西 惇, 山下 享子, 角田 達彦, 鎌谷 高志, 松田 浩一, 平田 真, 植田 幸嗣. 網羅的プロテオーム解析による粘液型脂肪肉腫の予後不良因子の探索. 日本癌学会総会記事 2020.10.01

  4. Goto Shinichi, Kimura Mai, Katsumata Yoshinori, Goto Shinya, Kamatani Takashi, Ichihara Genki, Ko Seien, Sasaki Junichi, Fukuda Keiichi, Sano Motoaki. 救急患者において12誘導心電図から緊急血行再建術の必要性を予測する人工知能(Artificial Intelligence to Predict Needs for Urgent Revascularization from 12-leads Electrocardiography in Emergency Patients). 日本循環器学会学術集会抄録集 2019.03.01

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