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Information Physics of Biological Adaptations

Planned Research

Project AreaInformation physics of living matters
Project/Area Number 19H05799
Research Category

Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

Allocation TypeSingle-year Grants
Review Section Complex systems
Research InstitutionThe University of Tokyo

Principal Investigator

Kobayashi Tetsuya  東京大学, 生産技術研究所, 教授 (90513359)

Project Period (FY) 2019-06-28 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥64,610,000 (Direct Cost: ¥49,700,000、Indirect Cost: ¥14,910,000)
Fiscal Year 2023: ¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2022: ¥13,910,000 (Direct Cost: ¥10,700,000、Indirect Cost: ¥3,210,000)
Fiscal Year 2021: ¥14,430,000 (Direct Cost: ¥11,100,000、Indirect Cost: ¥3,330,000)
Fiscal Year 2020: ¥13,780,000 (Direct Cost: ¥10,600,000、Indirect Cost: ¥3,180,000)
Fiscal Year 2019: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
Keywords適応現象 / 理論生物学 / 学習理論 / 化学熱力学 / 非平衡熱力学 / 強化学習 / 最適制御 / 生物物理学 / 定量生物学 / 分散部分観測制御 / 非平衡化学熱力学 / 情報幾何学 / 化学走性 / エントロピー正則化 / Fisherの基本定理 / 最適フィルター / 受容体応答 / 確率モデリング / 部分観測制御 / 完全適応
Outline of Research at the Start

細胞をはじめとする生物は、環境からの入力を受け取り、それに応じて自分の状態や運動など多様な出力を変化させることで環境に働きかけ、様々な生体機能を実現します。このような機能が物理的に見てどれくらい効率的にできているのか、できているとすればその原理はなんなのか、を明らかにするために、情報熱力学を生命現象へとつなげた理論を新たに構築します。
特に細胞内の反応の機能、それを組み合わせた1細胞の機能、そして細胞が集団になった集団としての機能の階層性に着目します。熱統計力学・情報理論・学習理論・進化理論に共通する熱力学的変分構造を媒介にすることで、これらの階層間の関係つなぎうる理論を探求します。

Outline of Final Research Achievements

Based on information thermodynamics, we have developed a theoretical framework that integrates various biological functions: chemical reaction systems, cellular information processing, learning, and evolution. For intracellular reactions, a general theory of equilibrium and non-equilibrium chemical thermodynamics was established based on the Hessian geometry, which was applied to analyze the thermodynamics of self-replication. For single-cell information processing, bacterial chemotaxis was formalized using theories of optimal filtering and control to elucidate its optimality. For the multicellular phenomena, we constructed theories for populational information processing by cells, reinforcement learning of adaptive immunity, and evolution with learning agents. These results significantly advance the establishment of a theory for information physics that captures diverse adaptive phenomena in living systems.

Academic Significance and Societal Importance of the Research Achievements

生命は工学では未だ実現できない多様な機能や情報処理を実現する。その機能的な最適性や熱力学的な効率を理解するためには、反応レベルから多細胞レベルまで多様な生命機能を階層を超えて捉える理論が必要になる。本研究では特に、細胞内の非平衡反応、1細胞の化学情報処理、そして多細胞の集団情報処理や進化の過程を包括的に捉える情報物理学理論の構築に成功した。このような理論を活用そして発展させることにより、生命の設計原理を物理と情報の観点から理解するだけでなく、確率環境下でも頑健に機能するシステムの設計、熱力学的に高効率なシステムの実現、生命に学ぶ新たな情報処理原理の発見などにつながることが期待される。

Report

(6 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (150 results)

All 2024 2023 2022 2021 2020 2019 Other

All Journal Article (29 results) (of which Peer Reviewed: 27 results,  Open Access: 22 results) Presentation (107 results) (of which Int'l Joint Research: 28 results,  Invited: 21 results) Book (1 results) Remarks (12 results) Funded Workshop (1 results)

  • [Journal Article] Decentralized Stochastic Control with Finite-Dimensional Memories: A Memory Limitation Approach2023

    • Author(s)
      Tottori Takehiro、Kobayashi Tetsuya J.
    • Journal Title

      Entropy

      Volume: 25 Issue: 5 Pages: 791-791

    • DOI

      10.3390/e25050791

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Cellular gradient flow structure linking single-cell-level rules and population-level dynamics2023

    • Author(s)
      Horiguchi Shuhei A.、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 5 Issue: 2

    • DOI

      10.1103/physrevresearch.5.l022052

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Population dynamics models for various forms of adaptation2023

    • Author(s)
      Nakashima So、J. Kobayashi Tetsuya
    • Journal Title

      Biophysics and Physicobiology

      Volume: 20 Issue: 3 Pages: n/a

    • DOI

      10.2142/biophysico.bppb-v20.0034

    • ISSN
      2189-4779
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Information geometry of dynamics on graphs and hypergraphs2023

    • Author(s)
      Kobayashi Tetsuya J.、Loutchko Dimitri、Kamimura Atsushi、Horiguchi Shuhei A.、Sughiyama Yuki
    • Journal Title

      Information Geometry

      Volume: - Issue: 1 Pages: 97-166

    • DOI

      10.1007/s41884-023-00125-w

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Forward-Backward Sweep Method for the System of HJB-FP Equations in Memory-Limited Partially Observable Stochastic Control2023

    • Author(s)
      Tottori Takehiro、Kobayashi Tetsuya J.
    • Journal Title

      Entropy

      Volume: 25 Issue: 2 Pages: 208-208

    • DOI

      10.3390/e25020208

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Asynchronous division at 4-8-cell stage of preimplantation embryos affects live birth through ICM/TE differentiation2022

    • Author(s)
      Mashiko Daisuke、Ikeda Zenki、Tokoro Mikiko、Hatano Yu、Yao Tatsuma、Kobayashi Tetsuya J.、Fukunaga Noritaka、Asada Yoshimasa、Yamagata Kazuo
    • Journal Title

      Scientific Reports

      Volume: 12 Issue: 1 Pages: 9411-9411

    • DOI

      10.1038/s41598-022-13646-8

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Machine Learning Approaches to TCR Repertoire Analysis2022

    • Author(s)
      Katayama Yotaro、Yokota Ryo、Akiyama Taishin、Kobayashi Tetsuya J.
    • Journal Title

      Frontiers in Immunology

      Volume: 13 Pages: 858057-858057

    • DOI

      10.3389/fimmu.2022.858057

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k-mer Feature Extraction2022

    • Author(s)
      Katayama Yotaro、Kobayashi Tetsuya J.
    • Journal Title

      Frontiers in Immunology

      Volume: 13

    • DOI

      10.3389/fimmu.2022.797640

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Hessian geometric structure of chemical thermodynamic systems with stoichiometric constraints2022

    • Author(s)
      Sughiyama Yuki、Loutchko Dimitri、Kamimura Atsushi、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 3 Pages: 033065-033065

    • DOI

      10.1103/physrevresearch.4.033065

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Kinetic derivation of the Hessian geometric structure in chemical reaction networks2022

    • Author(s)
      Kobayashi Tetsuya J.、Loutchko Dimitri、Kamimura Atsushi、Sughiyama Yuki
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 3 Pages: 033066-033066

    • DOI

      10.1103/physrevresearch.4.033066

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Chemical thermodynamics for growing systems2022

    • Author(s)
      Sughiyama Yuki、Kamimura Atsushi、Loutchko Dimitri、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 3 Pages: 033191-033191

    • DOI

      10.1103/physrevresearch.4.033191

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Hessian geometry of nonequilibrium chemical reaction networks and entropy production decompositions2022

    • Author(s)
      Kobayashi Tetsuya J.、Loutchko Dimitri、Kamimura Atsushi、Sughiyama Yuki
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 3 Pages: 033208-033208

    • DOI

      10.1103/physrevresearch.4.033208

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Riemannian geometry of optimal driving and thermodynamic length and its application to chemical reaction networks2022

    • Author(s)
      Loutchko Dimitri、Sughiyama Yuki、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 4 Pages: 043049-043049

    • DOI

      10.1103/physrevresearch.4.043049

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos2022

    • Author(s)
      Tokuoka Yuta、Yamada Takahiro G.、Mashiko Daisuke、Ikeda Zenki、Kobayashi Tetsuya J.、Yamagata Kazuo、Funahashi Akira
    • Journal Title

      Artificial Intelligence in Medicine

      Volume: 134 Pages: 102432-102432

    • DOI

      10.1016/j.artmed.2022.102432

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach2022

    • Author(s)
      Tottori Takehiro、Kobayashi Tetsuya J.
    • Journal Title

      Entropy

      Volume: 24 Issue: 11 Pages: 1599-1599

    • DOI

      10.3390/e24111599

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Acceleration of evolutionary processes by learning and extended Fisher's fundamental theorem2022

    • Author(s)
      So Nakashima, Tetsuya J. Kobayashi
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 1 Pages: 013069-013069

    • DOI

      10.1103/physrevresearch.4.013069

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Optimal sensing and control of run-and-tumble chemotaxis2022

    • Author(s)
      Nakamura Kento、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 4 Issue: 1 Pages: 013120-013120

    • DOI

      10.1103/physrevresearch.4.013120

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Forward and Backward Bellman Equations Improve the Efficiency of the EM Algorithm for DEC-POMDP2021

    • Author(s)
      Tottori Takehiro、Kobayashi Tetsuya J.
    • Journal Title

      Entropy

      Volume: 23 Issue: 5 Pages: 551-551

    • DOI

      10.3390/e23050551

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Representation and inference of size control laws by neural-network-aided point processes2021

    • Author(s)
      Kamimura Atsushi、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 3 Issue: 3

    • DOI

      10.1103/physrevresearch.3.033032

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] 大腸菌走化性における感知・応答の情報論的な最適性2021

    • Author(s)
      中村絢斗、小林徹也
    • Journal Title

      生体の科学

      Volume: 3 Pages: 239-244

    • Related Report
      2021 Annual Research Report
  • [Journal Article] Understanding adaptive immune system as reinforcement learning2021

    • Author(s)
      Kato Takuya、Kobayashi Tetsuya J.
    • Journal Title

      Physical Review Research

      Volume: 3 Issue: 1 Pages: 013222-013222

    • DOI

      10.1103/physrevresearch.3.013222

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Connection between the Bacterial Chemotactic Network and Optimal Filtering2021

    • Author(s)
      Kento Nakamura, Tetsuya J. Kobayashi
    • Journal Title

      Physical Review Letters

      Volume: 126 Issue: 12 Pages: 128102-128102

    • DOI

      10.1103/physrevlett.126.128102

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Bayesian gates for reliable logical operations under noisy conditions2020

    • Author(s)
      Kobayashi Tetsuya J
    • Journal Title

      PHYSICAL REVIEW E

      Volume: 101 Issue: 4 Pages: 042205-042205

    • DOI

      10.1103/physreve.101.042205

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Lineage EM algorithm for inferring latent states from cellular lineage trees2020

    • Author(s)
      Nakashima So、Sughiyama Yuki、Kobayashi Tetsuya J
    • Journal Title

      Bioinformatics

      Volume: 36 Issue: 9 Pages: 2829-2838

    • DOI

      10.1093/bioinformatics/btaa040

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 生命科学における機械学習の応用とその課題2020

    • Author(s)
      小林 徹也
    • Journal Title

      数理科学

      Volume: 58 Pages: 43-49

    • Related Report
      2020 Annual Research Report
  • [Journal Article] 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis2020

    • Author(s)
      Tokuoka Yuta、Yamada Takahiro G.、Mashiko Daisuke、Ikeda Zenki、Hiroi Noriko F.、Kobayashi Tetsuya J.、Yamagata Kazuo、Funahashi Akira
    • Journal Title

      npj Systems Biology and Applications

      Volume: 6 Issue: 1 Pages: 32-32

    • DOI

      10.1038/s41540-020-00152-8

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Reliable target ligand detection by noise-induced receptor cluster formation2020

    • Author(s)
      Kajita Masashi K.、Aihara Kazuyuki、Kobayashi Tetsuya J.
    • Journal Title

      Chaos: An Interdisciplinary Journal of Nonlinear Science

      Volume: 30 Issue: 1 Pages: 011104-011104

    • DOI

      10.1063/1.5140714

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Fitness Gain of Individually Sensed Information by Cells2019

    • Author(s)
      Kobayashi Tetsuya J.、Sughiyama Yuki
    • Journal Title

      Entropy

      Volume: 21 Issue: 10 Pages: 1002-1002

    • DOI

      10.3390/e21101002

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Quantitative analysis reveals reciprocal regulations underlying recovery dynamics of thymocytes and thymic environment in mice2019

    • Author(s)
      Kaneko Kazumasa B.、Tateishi Ryosuke、Miyao Takahisa、Takakura Yuki、Akiyama Nobuko、Yokota Ryo、Akiyama Taishin、Kobayashi Tetsuya J.
    • Journal Title

      Communications Biology

      Volume: 2 Issue: 1 Pages: 444-444

    • DOI

      10.1038/s42003-019-0688-8

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] 計算資源制限を伴う最適推定制御とその生体情報処理への応用:記憶の相転移2024

    • Author(s)
      鳥取 岳広, 小林 徹也
    • Organizer
      定量生物学の会 第十一回年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 細胞増殖を統合した分化軌道推定手法の開発と胸腺細胞のロバスト性解明への応用2024

    • Author(s)
      木下 恭兵, 小林 徹也
    • Organizer
      定量生物学の会 第十一回年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 一般化勾配流による多細胞システムのモデル化2024

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      定量生物学の会 第十一回年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 加藤雅己, 小林徹也2024

    • Author(s)
      環境を通じて情報共有する細胞集団の強化学習的理解
    • Organizer
      定量生物学の会 第十一回年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 歴史から紐解く化学反応論と化学熱力学2024

    • Author(s)
      小林 徹也
    • Organizer
      定量生物学の会 第十一回年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 細胞集団の勾配流によるモデリング2024

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      第8回理論免疫学ワークショップ
    • Related Report
      2023 Annual Research Report
  • [Presentation] 環境を通じて情報共有する細胞集団の強化学習的理解2024

    • Author(s)
      加藤雅己, 小林徹也
    • Organizer
      第8回理論免疫学ワークショップ
    • Related Report
      2023 Annual Research Report
  • [Presentation] ストレス条件下における髄質胸腺上皮細胞の分化ダイナミクス変化の情報学的解析2024

    • Author(s)
      木下 恭兵, 小林 徹也
    • Organizer
      第8回理論免疫学ワークショップ
    • Related Report
      2023 Annual Research Report
  • [Presentation] epiNMF: a Novel Method to Uncover the Influence of Epigenome on Local Mutation Rates2024

    • Author(s)
      Machiko Katori, Hiroyuki Yamasaki, Tetsuya Yamada-Saito, Tetsuya J. Kobayashi, Shoi Shi
    • Organizer
      Gordon Research Seminar, DNA Damage, Mutation and Cancer
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 分散型確率最適制御問題に対する記憶制限アプローチ2023

    • Author(s)
      鳥取 岳広, 小林 徹也
    • Organizer
      第67回システム制御情報学会研究発表講演会
    • Related Report
      2023 Annual Research Report
  • [Presentation] Chemical thermodynamics for growing compartments2023

    • Author(s)
      Atsushi Kamimura, Yuki Sughiyama, Tetsuya J. Kobayashi
    • Organizer
      Molecular Origins of Life
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Generalized gradient flow modeling of the cellular population dynamics and a T-cell immune response model2023

    • Author(s)
      Shuhei A. Horiguchi, Tetsuya J. Kobayashi
    • Organizer
      The 8th CIJK Conference on Mathematical and Theoretical Biology
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Optimal Information Processing and Control in Living Systems with limited resources2023

    • Author(s)
      Tetsuya J. Kobayashi
    • Organizer
      STATPHYS28 Satellite Meeting:Statistical Physics and Information-Processing in Living Systems
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Cellular gradient flow structure connects single-cell-level rules and population-level dynamics2023

    • Author(s)
      Shuhei A. Horiguchi, Tetsuya J. Kobayashi
    • Organizer
      STATPHY, Satellite Meeting, Statistical Physics, Information-Processing in Living Systems
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Information Geometry of Equilibrium and Nonequilibrium Chemical Reaction Networks2023

    • Author(s)
      Tetsuya J. Kobayashi, Dimitri Loutchko, Atsushi Kamimura, Yuki Sughiyama
    • Organizer
      28th International Conference on Statistical Physics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The fate of growing systems under themorynamic and stoichiometric constraints2023

    • Author(s)
      Atsushi Kamimura, Yuki Sughiyama, Tetsuya J. Kobayashi
    • Organizer
      28th International Conference on Statistical Physics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Cellular gradient flow structure connects single-cell-level rules and population-level dynamics2023

    • Author(s)
      Shuhei A. Horiguchi, Tetsuya J. Kobayashi
    • Organizer
      28th International Conference on Statistical Physics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Limits of gradient sensing with a dynamically changing cell shape2023

    • Author(s)
      Kento Nakamura, Tetsuya J. Kobayashi
    • Organizer
      28th International Conference on Statistical Physics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Noise-induced receptor clustering as a functional role of noise for reducing errors in target ligand detection2023

    • Author(s)
      Masashi K. Kajita, Kazuyuki Aihara, Tetsuya J. Kobayashi
    • Organizer
      28th International Conference on Statistical Physics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The Hessian Geometry of Thermodynamic Uncertainty Relations in Chemical Reaction Networks2023

    • Author(s)
      Dimitri Loutchko, Atsushi Kamimura, Yuki Sughiyama, Tetsuya J. Kobayashi
    • Organizer
      28th International Conference on Statistical Physics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Using and Creating Control Theory for Biological Problems2023

    • Author(s)
      Tetsuya J. Kobayashi
    • Organizer
      10th International Congress on Industrial and Applied Mathematics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Partially Observable Stochastic Control with Memory Limitation and Mean-Field Approach2023

    • Author(s)
      Takehiro Tottori, Tetsuya J. Kobayashi
    • Organizer
      10th International Congress on Industrial and Applied Mathematics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Cellular gradient flow structure connects single-cell-level rules and population-level dynamics2023

    • Author(s)
      Shuhei A. Horiguchi, Tetsuya J. Kobayashi
    • Organizer
      10th International Congress on Industrial and Applied Mathematics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Hessian geometric derivation of macroscopic thermodynamic uncertainty relations (TUR)2023

    • Author(s)
      Dimitri Loutchko, Tetsuya J. Kobayashi
    • Organizer
      10th International Congress on Industrial and Applied Mathematics
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Spectral Graph NNによる化学分子表現とその匂い認知予測への応用2023

    • Author(s)
      小林徹也
    • Organizer
      2023年度数理生物学会年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 環境を通じて情報共有する細胞集団の強化学習的理解2023

    • Author(s)
      加藤雅己, 小林徹也
    • Organizer
      2023年度数理生物学会年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] ジャンプ過程に対する線形可解な確率最適制御2023

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      2023年度数理生物学会年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 伸長方向を制御する細胞による勾配方向の推定限界2023

    • Author(s)
      中村絢斗, 小林徹也
    • Organizer
      2023年度数理生物学会年会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 生物学的制約を考慮した最適推定制御問題における記憶の相転移2023

    • Author(s)
      鳥取 岳広, 小林 徹也
    • Organizer
      日本物理学会2023年秋季大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 細胞を創るための平衡・非平衡化学熱力学2023

    • Author(s)
      小林 徹也, 杉山友規, Dimitri Loutchko, 上村 淳
    • Organizer
      「細胞を創る」研究会16.0
    • Related Report
      2023 Annual Research Report
    • Invited
  • [Presentation] 体積成長を考慮した自己複製系の化学熱力学2023

    • Author(s)
      上村淳, 杉山友規, 小林徹也
    • Organizer
      「細胞を創る」研究会16.0
    • Related Report
      2023 Annual Research Report
  • [Presentation] Chemical thermodynamics for growing protocells2023

    • Author(s)
      Atsushi Kamimura, Yuki Sughiyama, Tetsuya J. Kobayashi
    • Organizer
      Origins of Life Donostia Meeting
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 小林 徹也2023

    • Author(s)
      生体システムにおける化学情報処理過程の理解
    • Organizer
      CBI2023大会
    • Related Report
      2023 Annual Research Report
    • Invited
  • [Presentation] ハイパーグラフ上の非線形一般化勾配流とその情報幾何学構造2023

    • Author(s)
      小林 徹也
    • Organizer
      第26回情報論的学習理論ワークショップ
    • Related Report
      2023 Annual Research Report
  • [Presentation] 機械学習ベースの隠れ状態推定手法の比較と生物データへの応用2023

    • Author(s)
      谷本 佑馬, 上村 淳, 小林 徹也
    • Organizer
      第26回情報論的学習理論ワークショップ
    • Related Report
      2023 Annual Research Report
  • [Presentation] ゆらいだ生体時系列データから隠れた変動を見出す機械・深層学習手法2023

    • Author(s)
      小林 徹也
    • Organizer
      第96回日本生化学会大会
    • Related Report
      2023 Annual Research Report
    • Invited
  • [Presentation] Chemical thermodynamics for growing compartments with stoichiometric constraints2023

    • Author(s)
      Atsushi Kamimura, Yuki Sughiyama, Tetsuya J. Kobayashi
    • Organizer
      日本生物物理学会第61回年次大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] グラフNNによる化学分子表現学習とその匂い認知予測への応用2023

    • Author(s)
      小林 徹也, 梦吉, 舟橋 啓
    • Organizer
      日本生物物理学会第61回年次大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] Optimality of Biological Information Processing2023

    • Author(s)
      Tetsuya J. Kobayashi
    • Organizer
      Biomedical Mathematics Online Colloquium
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 化学反応システムの熱力学とその応用2023

    • Author(s)
      小林徹也
    • Organizer
      定量生物学の会 第十回年会
    • Related Report
      2022 Annual Research Report
  • [Presentation] リソース制約部分観測最適制御理論:生体情報処理の理解にむけた自由エネルギー原理とは違うルート2023

    • Author(s)
      小林徹也
    • Organizer
      「あいまい脳」 班会議
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] 観測と記憶が制限された確率最適制御問題の解法:確率空間上のポントリャーギンの最小原理と前向き後向きスイープ法2023

    • Author(s)
      鳥取岳広, 小林徹也
    • Organizer
      計測自動制御学会第10回制御部門マルチシンポジウム
    • Related Report
      2022 Annual Research Report
  • [Presentation] Uncovering the Influence of Epigenetics on Local Mutation Rates through a Comprehensive Analysis of Epigenomic and Genomic Data2023

    • Author(s)
      Machiko Katori, Tetsuya Yamada, Tetsuya J. Kobayashi, Shoi Shi
    • Organizer
      Probabilistic Modeling in Genomics 2023
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] グラフニューラルネットワークによる分子表現と匂い認知の予測への応用2023

    • Author(s)
      小林徹也
    • Organizer
      第7回理論免疫学ワークショップ
    • Related Report
      2022 Annual Research Report
  • [Presentation] 胸腺上皮細胞のシングルセル解析2023

    • Author(s)
      木下 恭兵, 小林 徹也
    • Organizer
      第7回理論免疫学ワークショップ
    • Related Report
      2022 Annual Research Report
  • [Presentation] 深層学習によるTCR-pMHC結合予測2023

    • Author(s)
      堅山 耀太郎, 小林 徹也
    • Organizer
      第7回理論免疫学ワークショップ
    • Related Report
      2022 Annual Research Report
  • [Presentation] 細胞集団動態の勾配流によるモデリング2023

    • Author(s)
      堀口修平, 小林徹也
    • Organizer
      第7回理論免疫学ワークショップ
    • Related Report
      2022 Annual Research Report
  • [Presentation] 細胞集団の勾配流と1細胞動態の法則2022

    • Author(s)
      堀口修平, 小林徹也
    • Organizer
      2022年度数理生物学会年会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Hessian Geometric Structure of Equilibrium and Nonequilibrium Chemical Reaction Newtworks2022

    • Author(s)
      小林徹也
    • Organizer
      理研 iTEMSセミナー
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] グラフ・ハイパーグラフ上のダイナミクスの情報幾何学2022

    • Author(s)
      小林徹也
    • Organizer
      JST数学関連3領域連携WS「情報科学と拓く新しい数理科学」
    • Related Report
      2022 Annual Research Report
    • Invited
  • [Presentation] 記憶が制限された部分観測確率制御2022

    • Author(s)
      鳥取岳広, 小林徹也
    • Organizer
      日本物理学会2022年秋季大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Optimal information processing and motor control of run-and-tumble chemotaxis under stochastic fluctuation2022

    • Author(s)
      Kento Nakamura, Tetsuya J. Kobayashi
    • Organizer
      12th European Conference on Mathematical and Theoretical Biology (ECMTB)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Gradient flow of the heterogeneous cellular population and a T-cell immune response model.2022

    • Author(s)
      Shuhei A. Horiguchi, Tetsuya J. Kobayashi
    • Organizer
      12th European Conference on Mathematical and Theoretical Biology (ECMTB)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Chemical thermodynamics for growing systems2022

    • Author(s)
      杉山友規, 上村敦・LoutchkoDimitri, 小林徹也
    • Organizer
      RIMS共同研究集会「ランダム力学系・非自励力学系研究の展望:理論と応用」
    • Related Report
      2022 Annual Research Report
  • [Presentation] A general approach to chemical thermodynamics and constraints for growing systems2022

    • Author(s)
      杉山友規, 上村淳, Dimitri Loutchko, 小林徹也
    • Organizer
      日本生物物理学会第60回年次大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Tetsuya J. Kobayashi2022

    • Author(s)
      Chemical Thermodynamics of Growing Systems
    • Organizer
      ICTP-KIAS School on Statistical Physics for Life Sciences
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 記憶が制限された部分観測確率制御に対する平均場制御アプローチ2022

    • Author(s)
      鳥取岳広, 小林徹也
    • Organizer
      第65回自動制御連合講演会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 細胞集団動態と1細胞動態の一般化勾配流によるモデリング2022

    • Author(s)
      堀口修平, 小林徹也
    • Organizer
      ソフトバイオ研究会2022
    • Related Report
      2022 Annual Research Report
  • [Presentation] T細胞系の定量生物学:発生からレパトアまで2022

    • Author(s)
      小林徹也
    • Organizer
      第2回ASHBi 数理ヒト生物学研究会 (MathHuB研究会)
    • Related Report
      2022 Annual Research Report
  • [Presentation] Information Geometry of Equilibrium and Nonequilibrium Chemical Reaction Networks2022

    • Author(s)
      Tetsuya J. Kobayashi
    • Organizer
      Workshop on Non-equilibrium Phenomena in Physics and Biology
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Riemannian Geometry of Chemical Reaction Networks and its Applications to Optimal Driving and Sensitivity2022

    • Author(s)
      Dimitri Loutchko, Tetsuya J. Kobayashi
    • Organizer
      Workshop on Non-equilibrium Phenomena in Physics and Biology
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Evolution of Thymic Involution Through the Lens of Learning Theory2022

    • Author(s)
      堀口修平, 小林徹也
    • Organizer
      第51回日本免疫学会学術集会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 単細胞はどこまでよくできているか? 最適フィルター・最適制御理論に基づくバクテリア化学感知機構の最適性の検証2021

    • Author(s)
      小林徹也
    • Organizer
      統計物理と統計科学の連続セミナー
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] 生体における化学情報処理機構の定量生物学2021

    • Author(s)
      小林徹也
    • Organizer
      第4回センサ&IoTセミナー
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] 感知ノイズ下の run-and-tumble 型化学走性の最適な制御方式2021

    • Author(s)
      中村絢斗 , 小林徹也
    • Organizer
      2021年度日本数理生物学会年会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Poisson 点過程と Ginibre 点過程上での連続パーコレーションと 確率論的感染症モデル2021

    • Author(s)
      香取 真知子, 香取 眞理, 小林 徹也
    • Organizer
      2021年度日本数理生物学会年会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 集団動態における生物学的コストとリーマン多様体上の勾配流:免疫系への応用2021

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      2021年度日本数理生物学会年会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 学習による進化の加速とFisherの基本定理の拡張2021

    • Author(s)
      中島蒼, 小林徹也
    • Organizer
      2021年度日本数理生物学会年会
    • Related Report
      2021 Annual Research Report
  • [Presentation] バクテリア化学走性機構の最適性2021

    • Author(s)
      小林徹也
    • Organizer
      2021年日本バイオインフォマティクス学会年会・第十回生命医薬情報連合大会(IIBMP2021)
    • Related Report
      2021 Annual Research Report
  • [Presentation] Acceleration of evolutionary processes by learning and extended Fisher's fundamental theorem2021

    • Author(s)
      So Nakashima, Tetsuya J. Kobayashi
    • Organizer
      The 20th Congress of the International Union for Pure and Applied Biophysics (IUPAB)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Biochemical implementation of optimal control for run-and-tumble chemotaxis2021

    • Author(s)
      Kento Nakamura, Tetsuya J. Kobayashi
    • Organizer
      The 20th Congress of the International Union for Pure and Applied Biophysics (IUPAB)
    • Related Report
      2021 Annual Research Report
  • [Presentation] 生命現象をとらえる理論的方法とその展開:情報から構造まで2021

    • Author(s)
      小林徹也
    • Organizer
      東京大学理学部物理学科・2021年度 後期 物理学教室コロキウム
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] A gradient flow of the heterogeneous cellular population2021

    • Author(s)
      Shuhei A. Horiguchi, Tetsuya J. Kobayashi
    • Organizer
      International Conference on "Emergence of Cooperation and Organization in Groups of Animals and Non-living Objects" (ICMMA 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 前向き後向きBellman方程式による分散型部分観測確率制御の効率化2021

    • Author(s)
      鳥取 岳広, 小林 徹也
    • Organizer
      第 64 回自動制御連合講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 推定・制御の最適性に基づくバクテリア化学走性の理解2021

    • Author(s)
      中村絢斗, 小林徹也
    • Organizer
      第 64 回自動制御連合講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Representation and inference of cell growth and division by neural-network-aided point processes2021

    • Author(s)
      上村 淳, 小林徹也
    • Organizer
      日本生物物理学会第59回年次大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 機械学習によるシングルセル・ダイナミクスからの生物学的原理の解読2021

    • Author(s)
      小林徹也
    • Organizer
      日本生物物理学会第59回年次大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 機械学習による免疫レパトア分類2021

    • Author(s)
      小林徹也
    • Organizer
      iB Seminar:名古屋大学ハイブリッドセミナー
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] 細胞集団の勾配流とT細胞分化モデル2021

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      第6回理論免疫学ワークショップ
    • Related Report
      2021 Annual Research Report
  • [Presentation] T細胞レパトアデータによる免疫状態の分類手法について2021

    • Author(s)
      堅山 耀太郎, 小林 徹也
    • Organizer
      第6回理論免疫学ワークショップ
    • Related Report
      2021 Annual Research Report
  • [Presentation] バクテリア走化性の情報物理学2020

    • Author(s)
      小林 徹也, 中村 絢斗
    • Organizer
      第58回日本生物物理学会年会
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] 獲得免疫系の定量生物学2020

    • Author(s)
      小林 徹也
    • Organizer
      2020年度 日本数理生物学会年会
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] 最適確率制御システムと大腸菌化学走性過程の対応2020

    • Author(s)
      中村絢斗, 小林徹也
    • Organizer
      2020年度 日本数理生物学会年会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 免疫系における胸腺の強化学習の観点からの機能的意義2020

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      2020年度 日本数理生物学会年会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 増殖系における個の学習がもつ役割の考察2020

    • Author(s)
      中島蒼, 小林徹也
    • Organizer
      2020年度 日本数理生物学会年会
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] 生物学における機械学習的アプローチの最先端2020

    • Author(s)
      小林 徹也
    • Organizer
      第43回日本分子生物学会年会
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] Repertoire seqと機械学習2020

    • Author(s)
      小林 徹也
    • Organizer
      第5回理論免疫学ワークショップ
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] 学習理論に基づく胸腺の機能的意義2020

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      第5回理論免疫学ワークショップ
    • Related Report
      2020 Annual Research Report
  • [Presentation] Lineage EM Algorithm for Inferring Latent States from Cellular Lineage Trees2020

    • Author(s)
      So Nakashima, Yuki Sughiyama, Tetsuya J. Kobayashi
    • Organizer
      2020 Society of Mathematical Biology Virtual Annual Meeting
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Optimality of the sensory system of Escherichia coli2020

    • Author(s)
      Kento Nakamura, Tetsuya J. Kobayashi
    • Organizer
      2020 Society of Mathematical Biology Virtual Annual Meeting
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deciphering latent growth mode of cells from cellular lineage trees2020

    • Author(s)
      Tetsuya J. Kobayashi
    • Organizer
      Establishing International Research Network of Mathematical Oncology
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 年齢構造付き個体群動態における応答関係式2019

    • Author(s)
      杉山友規
    • Organizer
      2019年度 日本数理生物学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] T細胞の分化時間を一定に保つ適応メカニズム2019

    • Author(s)
      金子和正, 小林徹也
    • Organizer
      2019年度 日本数理生物学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] バクテリアの走化性における濃度変化の推定ダイナミクス2019

    • Author(s)
      中村絢斗, 小林徹也
    • Organizer
      2019年度 日本数理生物学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 免疫細胞多様性の強化学習モデルの解析2019

    • Author(s)
      堀口 修平, 小林 徹也
    • Organizer
      2019年度 日本数理生物学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 免疫T細胞の抗原識別における確率ノイズの構造2019

    • Author(s)
      梶田 真司, 合原 一幸, 小林 徹也
    • Organizer
      2019年度 日本数理生物学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 細胞ダイバーシティーへの数理的アプローチ2019

    • Author(s)
      小林 徹也
    • Organizer
      第92回日本生化学会大会:組織・臓器の構築と制御の統合的理解を目指した細胞ダイバーシティー研究
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] Fitness response relation of a multitype age-structured population dynamics2019

    • Author(s)
      杉山 友規, 中島 蒼, 小林 徹也
    • Organizer
      第57回日本生物物理学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 抗原識別における確率的ノイズの役割(A role of stochastic noise in ligand discrimination)2019

    • Author(s)
      梶田 真司, 合原 一幸, 小林 徹也
    • Organizer
      第57回日本生物物理学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 増殖系と隠れマルコフモデルの対応に基づく学習の考察(A Study on Learning in Growing Population on the Basis of Hidden Markov Model)2019

    • Author(s)
      中島 蒼, 小林 徹也
    • Organizer
      第57回日本生物物理学会年会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 情報から捉える生命現象2019

    • Author(s)
      小林 徹也
    • Organizer
      定量生物学の会 北海道キャラバン 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] 増殖系の個の学習と先祖の行動2019

    • Author(s)
      中島 蒼
    • Organizer
      定量生物学の会 北海道キャラバン 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] 大腸菌の化学走性における濃度の時間変化推定の実現2019

    • Author(s)
      中村 絢斗
    • Organizer
      定量生物学の会 北海道キャラバン 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] 獲得免疫系の強化学習モデルの数理2019

    • Author(s)
      堀口 修平
    • Organizer
      定量生物学の会 北海道キャラバン 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] 獲得免疫系の強化学習モデルとその数理構造2019

    • Author(s)
      堀口 修平
    • Organizer
      第4回理論免疫学ワークショップ
    • Related Report
      2019 Annual Research Report
  • [Presentation] Deciphering latent growth mode of cells from cellular lineage trees2019

    • Author(s)
      小林 徹也
    • Organizer
      ワークショップ「数理腫瘍学の研究」
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] Information processing in cellular systems and the fitness value of information2019

    • Author(s)
      Tetsuya J. Kobayashi
    • Organizer
      Computational Principles in Active Perception and Reinforcement Learning in the Brain
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Book] 機械学習を生命科学に使う!2020

    • Author(s)
      小林 徹也、杉村 薫、舟橋 啓
    • Total Pages
      240
    • Publisher
      羊土社
    • ISBN
      9784758103916
    • Related Report
      2020 Annual Research Report
  • [Remarks] 論文:平衡化学熱力学のもつヘッセ幾何学構造

    • URL

      https://zenn.dev/crmind/articles/18c35f4c22279b

    • Related Report
      2022 Annual Research Report
  • [Remarks] 【記者発表】細胞の自己複製と成長に必要な物理条件はなにか?――成長する細胞系の熱力学理論の構築――

    • URL

      https://www.iis.u-tokyo.ac.jp/ja/news/3972/

    • Related Report
      2022 Annual Research Report
  • [Remarks] 【記者発表】平衡・非平衡の化学反応システムを統一する新理論

    • URL

      https://www.iis.u-tokyo.ac.jp/ja/news/3976/

    • Related Report
      2022 Annual Research Report
  • [Remarks] 論文:限られたリソースでどのように推定し、制御すべきか?

    • URL

      https://zenn.dev/crmind/articles/b46610b161a57e

    • Related Report
      2022 Annual Research Report
  • [Remarks] データからばらつき成分を取り除き、隠れた細胞分裂の法則を推定する機械学習手法を開発

    • URL

      https://www.iis.u-tokyo.ac.jp/ja/news/3597/

    • Related Report
      2021 Annual Research Report
  • [Remarks] 先祖の経験を学ぶと、進化は加速する:学習が進化に与える影響を考察する数理的枠組みを構築

    • URL

      http://www.iis.u-tokyo.ac.jp/ja/news/3769/

    • Related Report
      2021 Annual Research Report
  • [Remarks] 生物はどこまで賢く匂いを探索するのか?~ノイズに負けない探索戦略を紐解く新理論を構築~

    • URL

      https://www.iis.u-tokyo.ac.jp/ja/news/3783/

    • Related Report
      2021 Annual Research Report
  • [Remarks] 過去の感染経験から学習する免疫系の新しい理論を構築

    • URL

      https://www.eurekalert.org/pub_releases_ml/2021-03/iois-6031021.php

    • Related Report
      2020 Annual Research Report
  • [Remarks] 生殖補助医療につながる革新的AI開発に成功 -不妊症の原因となる卵子の質の評価に応用可能-

    • URL

      https://newscast.jp/news/5607226

    • Related Report
      2020 Annual Research Report
  • [Remarks] 不妊治療につながるAI開発に成功、発生過程の細胞核を世界最高精度で評価

    • URL

      https://univ-journal.jp/59848/

    • Related Report
      2020 Annual Research Report
  • [Remarks] AI使い受精卵を解析、体外受精の妊娠率向上に期待

    • URL

      https://www.asahi.com/articles/ASNC46DWXNC2ULBJ006.html?iref=pc_photo_gallery_bottom

    • Related Report
      2020 Annual Research Report
  • [Remarks] 東大、過去の感染経験から学習する免疫系の理論を構築

    • URL

      https://www.nikkei.com/article/DGXLRSP606312_Z00C21A3000000/

    • Related Report
      2020 Annual Research Report
  • [Funded Workshop] Information Physics in Living Systems2024

    • Related Report
      2023 Annual Research Report

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Published: 2019-07-04   Modified: 2025-01-30  

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