Panel Discussion 5：Pulmonary Rehabilitation for the ElderlyHyodo, M. and Iwanaga, T.：Panel Discussion 5 “Pulmonary Rehabilitation for the Elderly” Workshop 1：Basic Research in Broncho-EsophagologyKimura, A., Araki, K., Kurioka, T., Mogi, S., Shiotani, A., and Yamashita, T.： Workshop 2：AI and Big Data in Broncho-Esophagological ResearchFukuoka, J.：Current Status and Prospects of Digitization and Artificial Intelligence in Pathology Imamura, Y., Takamatsu, M., Haraguchi, I., Kanie, Y., Maruyama, S., Sakamoto, K., Workshop 3：Regenerative Medicine in Broncho-EsophagologyOhki, T.：Esophageal Regenerative Therapy Using Cell Sheets Non-Small Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors ─Introduction Higashimoto, Y.：Pulmonary Rehabilitation and Nutritional Support for Chronic Respiratory Disease Haji, S., Kamei, T., Yoshikawa, T., Nakamura, K., Uchida, K., and Hamada, A.： Significance of Nutrition and Rehabilitation for Elderly Surgical Cancer Patients Tanaka, K.：Swallowing Rehabilitation Focusing on Compensatory Function in the Elderly Tsuda, G. and Azuma, M.：Respiratory and Nutritional Rehabilitation for Dysphagial Disorders Inhibition of Extracellular Signal-Regulated Kinase Pathway Suppressing Tracheal Stenosis in a Novel Mouse Model Ueha, R.：Use of Engineering and Molecular Biology Techniques in the Tracheoesophageal Field Sato, K., Chitose, S., Sato, K., Sato, F., Ono, T., and Umeno, H.：Role of Colony-Forming Tissue Stem Cells in the Macula Flava of the Human Vocal Fold in Vivo Koterazawa, Y., Koyanagi, M., Oshikiri, T., Kakeji, Y., and Aoi, T.： Promotion of Differentiation of Human Induced Pluripotent Stem Cells into Esophageal Epithelium by Retinoic Acid Receptor Gamma Activation Baba, Y., Toihata, T., Harada, K., Iwatsuki, M., Yoshida, N., and Baba, H.： Comprehensive Analysis of Tumor Immunity in Esophageal Cancer Ohara, S., Suda, K., Fujino, T., Hamada, A., Chiba, M., Shimoji, M., Takemoto, T., Soh, J., and Mitsudomi, T.：Role of ctDNA in the Management of Patients with Resected Lung Cancer Fujiwara, D., Kanamori, J., Okamura, A., Nunobe, S., Oki, E., Morita, M., Mine, S., Baba, H., and Watanabe, M.：AI Diagnosis of TP53 IHC for Detecting TP53 Mutational Types Sakai, S., Kunihiro, Y., and Shirai, Y.：Current Status of Artificial Intelligence Usage in Thoracic Imaging Diagnosis Kawaguchi, Y., Murakami, K., Makino, Y., Kudo, Y., Maehara, S., Shimada, Y., Hagiwara, M., Kakihana, M., Ohira, T., and Ikeda, N.：Utility of AI-Based Volumetric Analysis in Clinical Stage 0─IA Lung Adenocarcinoma Oku, Y., Watanabe, K., Nagano, T., Kosai, K., Ono, Y., Haratake, N., Kohno, M., Takenaka, T., Yamashita, T., Nakashima, N., and Nohara, Y.：Prediction of Pathological Factors in NSCLC Based on Deep Learning of Thin-Section CT Ito, M., Takeshita, N., Hasegawa, H., and Kitaguchi, D.：Future of AI Endoscopic Surgery Kudo, T., Oshikiri, T., Sawada, R., Harada, H., Urakawa, N., Goto, H., Hasegawa, H., Kanaji, S., Yamashita, K., Matsuda, T., and Kakeji, Y.：Auto-Detection and Analysis of Operational Status of Forceps in Minimally Invasive Esophagectomy, Using Open-Source Algorithm YOLOv3 150151152153─155156─158159160161162─164165166─167168169170171─172173174175176177
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