HASEGAWA Takanori

ハセガワタカノリ | HASEGAWA Takanori

Affiliation and department：
Job title： Associate Professor

Research field (3)： Genomics , Statistical science , Biological, health, and medical informatics

Research theme for competitive and other funds (7)：

2023 - 2026 Large-scale cross-ancestry multi-omics study to elucidate the pathogenesis of COVID-19 severity and Long COVID
2022 - 2025 HLA結合性ネオ抗原予測を用いたがんの免疫療法への応答性予測の数理的解析
2021 - 2024 経時的遺伝子発現解析を用いた敗血症慢性重症経過の病態解明と予測モデル構築
2019 - 2022 Prediction of microbiome-disease association using time series human microbiome data
2017 - 2019 Predicting severity of lifestyle-related diseases by integrating time-series health records with human genome and metagenome data

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Papers (52)：

Qingbo S Wang, Ryuya Edahiro, Ho Namkoong, Takanori Hasegawa, Yuya Shirai, Kyuto Sonehara, Atsushi Kumanogoh, Makoto Ishii, Ryuji Koike, Akinori Kimura, et al. Estimating gene-level false discovery probability improves eQTL statistical fine-mapping precision. NAR genomics and bioinformatics. 2023. 5. 4. lqad090
Yuta Kobayashi, Atsushi Niida, Satoshi Nagayama, Koichi Saeki, Hiroshi Haeno, Kazuki K. Takahashi, Shuto Hayashi, Yuki Ozato, Hideyuki Saito, Takanori Hasegawa, et al. Subclonal accumulation of immune escape mechanisms in microsatellite instability-high colorectal cancers. British Journal of Cancer. 2023
Angelica Anne Eligado Latorre, Keiko Nakamura, Kaoruko Seino, Takanori Hasegawa. Vector Autoregression for Forecasting the Number of COVID-19 Cases and Analyzing Behavioral Indicators in the Philippines: Ecologic Time-Trend Study. JMIR formative research. 2023. 7. e46357
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. 16. 1. 40-40
Akihiro Kitagawa, Tsuyoshi Osawa, Miwa Noda, Yuta Kobayashi, Sho Aki, Yusuke Nakano, Tomoko Saito, Dai Shimizu, Hisateru Komatsu, Maki Sugaya, et al. Convergent genomic diversity and novel BCAA metabolism in intrahepatic cholangiocarcinoma. British journal of cancer. 2023. 128. 12. 2206-2217

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MISC (21)：

長谷川嵩矩. 私とがんのプロテオゲノミクス 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. 2023. 67. Suppl. s30-s30
内御堂亮, 長谷川嵩矩, 若林健二. Longitudinal data analysis for predicting mortality in patients with severe COVID-19. 日本集中治療医学会学術集会(Web). 2022. 49th. Suppl.1. 551-551
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. 28. Suppl.2. 337-337
三澤計治, 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, 安西尚彦, et al. Statistical Power of Rare Variant Analysis on Serum Urate Levels. 痛風と尿酸・核酸(Web). 2021. 45. 1. 23-30
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. Evolution for fostering metastatic sites and the traits of detectable mutations in ctDNA in CRC. 日本がん転移学会学術集会・総会プログラム抄録集. 2021. 30th

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Patents (2)：

Books (4)：

Pythonで実践 : 生命科学データの機械学習 : あなたのPCで最先端論文の解析レシピを体得できる!
羊土社 2023 ISBN:9784758122634
体育の科学71巻11月号「スポーツ・運動領域におけるAI・機械学習の活用」
株式会社杏林書院 2021
【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
医歯薬出版(医学のあゆみ) 2021
【遺伝統計学と疾患ゲノムデータ解析病態解明から個別化医療、ゲノム創薬まで】(第2章)大規模ゲノムデータ解析の最先端 T細胞受容体レパトア解析
メディカルドゥ(遺伝子医学MOOK) 2018

Lectures and oral presentations (8)：

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)
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)
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)
(日本癌学会総会記事 2018)
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)
(日本癌学会総会記事 2018)
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)

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Education (3)：

2012 - 2015 Kyoto University Graduate School of Informatics Department of Intelligence Science and Technology
2010 - 2012 The University of Tokyo The Graduate School of Information Science and Technology Department of Computer Science
2006 - 2010 Waseda University School of Science and Engineering Department of electrical engineering and bioscience

Work history (4)：

2021/09/01 - 現在 Tokyo Medical and Dental University M&D Data Science Center Department of Integrated Analytics Associate Professor
2020/04/01 - 2021/08/31 Tokyo Medical and Dental University M&D Data Science Center Department of Integrated Analytics Junior Associate Professor
2015/10/01 - 2020/03/31 The University of Tokyo, The Institute of Medical Science Health Intelligence Center Assistant Professor
2015/02 - 2015/09 Tohoku University Tohoku Medical Megabank Organization Assistant Professor

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