In silico実験による代謝性骨疾患と薬物治療の探究 von 亀尾, 佳貴, 安達, 泰治

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神経細胞の増殖と移動にともなう脳形態形成の数理モデリング von 亀尾, 佳貴, 竹田, 宏典, 安達, 泰治

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平板の形状制御を目的とした圧電配置の設計 von 大多尾, 義弘, 川端, 亮平, 亀尾, 佳貴, 石原, 正行

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Development of continuum-based particle models of cell growth and proliferation for simulating tissue morphogenesis von Yokoyama, Yuka, Kameo, Yoshitaka, Adachi, Taiji

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Computational framework for analyzing flow-induced strain on osteocyte as modulated by microenvironment von Kameo, Yoshitaka, Ozasa, Masahiro, Adachi, Taiji

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In Silico Experiments to Explore Metabolic Bone Diseases and Their Drug Treatment von KAMEO, Yoshitaka, ADACHI, Taiji

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骨の力学的適応のマルチスケールバイオメカニクス: 間質液流れを考慮した骨梁リモデリング von 安達, 泰治, 亀尾, 佳貴, 北條, 正樹

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High-resolution image-based simulation reveals membrane strain concentration on osteocyte processes caused by tethering elements von Yokoyama, Yuka, Kameo, Yoshitaka, Kamioka, Hiroshi, Adachi, Taiji

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Intrauterine Pressures Adjusted by Reichert’s Membrane Are Crucial for Early Mouse Morphogenesis von Ueda, Yoko, Kimura-Yoshida, Chiharu, Mochida, Kyoko, Tsume, Mami, Kameo, Yoshitaka, Adachi, Taiji, Lefebvre, Olivier, Hiramatsu, Ryuji, Matsuo, Isao

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An energy landscape approach to understanding variety and robustness in tissue morphogenesis von Takeda, Hironori, Kameo, Yoshitaka, Inoue, Yasuhiro, Adachi, Taiji

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In silico experiments of bone remodeling explore metabolic diseases and their drug treatment von Kameo, Y, Miya, Y, Hayashi, M, Nakashima, T, Adachi, T

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Interstitial fluid flow in canaliculi as a mechanical stimulus for cancellous bone remodeling: in silico validation von Kameo, Yoshitaka, Adachi, Taiji

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Theoretical concept of cortical to cancellous bone transformation von Kameo, Yoshitaka, Sakano, Nobuaki, Adachi, Taiji

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Capturing microscopic features of bone remodeling into a macroscopic model based on biological rationales of bone adaptation von Kim, Young Kwan, Kameo, Yoshitaka, Tanaka, Sakae, Adachi, Taiji

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Modeling trabecular bone adaptation to local bending load regulated by mechanosensing osteocytes von Kameo, Yoshitaka, Adachi, Taiji

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Bone Adaptation: In Silico Approach von Kameo, Yoshitaka, Tsubota, Ken-ichi, Adachi, Taiji

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