Global ETD Search

631	Recombinant human soluble thrombomodulin prevents acute lung injury in a rat cardiopulmonary bypass model / 遺伝子組み換えヒトトロンボモジュリンはラット人工心肺モデルにおいて急性肺障害を抑制する Hirao, Shingo 26 March 2018 (has links) 京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第20965号 / 医博第4311号 / 新制\|\|医\|\|1026(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授伊達洋至, 教授平井豊博, 教授江藤浩之 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM lung injury cardiopulmonary bypass thrombomodulin inflammation apoptosis 490
632	TNF Antagonism Stifles Host Response to Pulmonary Pathogen through Gut/lung Immunoregulatory Axis Tweedle, Jamie L. 30 October 2018 (has links) No description available. Immunology Histoplasma capsulatum dendritic cell regulatory T cell lung fungus
633	Discover the Role of Dendritic Cell in Pulmonary Langerhans Cell Histiocytosis And Respiratory Syncytial Virus Infection Liu, Huan 29 October 2018 (has links) No description available. Surgery DC PLCH NKG2D RSV Cigarette smoke Lung
634	The Role of RhoA in GPR116 Mediated Alveolar Homeostasis Lawder, John J. 04 November 2019 (has links) No description available. Molecular Biology RhoA GPR116 Surfactant GPCR Lung Actin
635	Optimizing Quantitative Methods in Murine Pulmonary Imaging with UTE 1H MR Stecker, Ian 29 September 2020 (has links) No description available. Biomedical Research MRI Quantitative Mouse Lung UTE Preclincal
636	LPS induced chorioamnionitis promotes IL-1 and TNF dependent recruitment of MAIT cells in fetal lung Isaacs, Travis 16 June 2020 (has links) No description available. Immunology MAIT TCR Va72 rhesus lung LPS chorioamnionitis
637	Adverse effects of early life dysbiosis on pulmonary and allergic asthma development Wilburn, Adrienne 06 June 2023 (has links) No description available. Immunology asthma dysbiosis microbial maturation Th17 lung development postnatal
638	Orthotopic foetal lung tissue direct injection into lung showed a preventive effect against paraquat-induced acute lung injury in mice / マウスにおいて成体肺に胎仔肺を同所性に直接投与することでパラコートによる急性肺傷害に対して予防的な効果を示した Okabe, Ryo 25 July 2022 (has links) 京都大学 / 新制・課程博士 / 博士(医学) / 甲第24132号 / 医博第4872号 / 新制\|\|医\|\|1059(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授平井豊博, 教授湊谷謙司, 教授羽賀博典 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM Mouse foetal lung tissue Orthotopic implantation Engraftment 490
639	Dose Prediction for Radiotherapy of Advanced Stage Lung Cancer Singh, Rachna January 2020 (has links) A dose prediction model for treatment planning was generated using U-Net architecture. The model was generated for advanced stage cancer patients. The U- Net architecture was created with depth=6 and kernel=6. The model architecture was successful to reduce the input image size (192X192) to feature map (6X6) which helped to extract the low level features. The dose prediction of the model was trained with depth=6, kernel=6, MSE loss, Adam optimizer, 1000 epochs and a batch size of 4. The predicted dose was rescaled for gamma analysis to quantify accuracy of the model. The renormalized predicted dose was quantified using gamma analysis with a 3mm, 3% dose tolerance. The gamma map was generated to visualize the regions where dose distributions failed. The gamma percentage values obtained on the training set were acceptable. The mean and standard deviation values of gamma pass percentage obtained on training dataset were 97.5% and 1.24% respectively, which concluded that training process was successful and was an almost perfect match of true dose and predicted dose. However, gamma pass percentage values obtained on validation set was not a good representation of the true dose. Nevertheless, the validation dataset was able to predict the approximate highest dose region. A gamma analysis with a 5mm, 5% dose tolerance was performed to test the the level of discrepancy between the predicted and true dose in the validation set. This increased the gamma pass percentage compared to the 3mm, 3% analysis to a mean gamma pass percentage of 26.2 ± 7.47%. Although the predicted dose was not of sufficient accuracy for clinical use, there technique studied in this work show promise for further development. / Thesis / Master of Science (MSc) Dose prediction Lung cancer Deep learning U-Net
640	Yes-associated protein 1 mediates initial cell survival during lorlatinib treatment through AKT signaling in ROS1-rearranged lung cancer / ROS1融合遺伝子陽性肺癌においてYAP1はAKT経路を介してロルラチニブ治療からの初期生存を制御する Yamazoe, Masatoshi 23 May 2023 (has links) 京都大学 / 新制・課程博士 / 博士(医学) / 甲第24788号 / 医博第4980号 / 新制\|\|医\|\|1066(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授伊達洋至, 教授松田道行, 教授後藤慎平 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM initial survival lung cancer resistance ROS1 YAP1 490

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