P-01 Predicting Vaccine-induced Antibody Dynamics from 1-2 Blood Samples Daiki Tatematsu, Iwami Shingo Nagoya University Student P-02 Viral shedding and transmissibility in immunocompromised COVID-19 patients: implications for isolation strategies Montie Tadaharu Harrison interdisciplinary Biology Laboratory, Division of Biological Science, Graduate School of Science, Nagoya University Student P-03 Model-Informed Age-Resolved Influenza Transmission Dynamics Using Particle Smoothing and Real-World Claims Data SEUNGHUN CHA, SEUNGJAE SEO, MINSOO KIM Korea Maritime and Ocean University Student P-04 Quantitative Analysis of Antiviral Treatment Efficacy Using PK/PD–Viral Dynamics Model Kwang Su Kim Pukyong national university General P-05 Inferring Antiviral Trial Success or Failure via Digital Twins Keisuke Ejima Nanyang Technological University General P-06 Development of an ADMET Prediction Model for Efficient Compound Optimization in Latent Space Takuya Suzuoka Department of AI Systems Medicine, M&D Data Science Center, Institute of Integrated Research, Institute of Science Tokyo Student P-07 Comparison of three global optimization methods for calibrating multiple parameters in a mechanistic model Chika Ogami, Mikiko Nakamura Pharmaceutical Science Dept., Chugai Pharmaceutical Co., Ltd. General P-08 Quantitative systems modeling of inflammation and coagulation abnormalities induced by pathogen infection Chika Ogami Pharmaceutical Science Department, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan General P-09 Extending a Platelet Lifecycle QSP Model to Predict Platelet Recovery After Immunosuppressive Therapy in Aplastic Anemia Yutaro Hoshi ONO Pharmaceutical co., ltd. General P-10 Quantitative Modeling Reveals Reaction-Driven Propagation of IP3-Mediated Calcium Waves JAEWAN SHIN, SUNG-CHUL HONG ,MINSOO KIM Korea Maritime and Ocean University Student P-11 Exploring Parameter Estimation When Applying Target-Mediated Drug Disposition Model with Drug Concentration Data Only General P-12 Impacts of Anti-drug Antibodies on PK/PD of Cell-permeable Middle Molecule Peptide Drug Mengxuan Gao Chugai Pharmaceutical Co., Ltd. General P-13 Prediction of Progression-Free Survival in Japanese Patients Based on a Published Palbociclib PPK/PD Model Moeko Suzuki Faculty of Pharmacy, Nihon Pharmaceutical University General P-14 Mathematical simulation of therapeutic interventions for bone loss in mice. Marwa Akao Nagoya University Student P-15 Development of a PBBM Incorporating Beta-Cyclodextrin–Bile Acid Interactions for Predicting Oral Drug Absorption Tamaki Fujii Department of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Katsushika, Japan Student P-16 Predicting Opposite Food Effects by Incorporating Meal-Specific Gastrointestinal Physiology Into Drug Absorption Model Saki Saimen Graduate School of Tokyo University of Science Student P-17 Quantifying Dissolution Requirements for Bioequivalence in Drug Products Exhibiting the Coning Effect Using PBBM Kana Sasaki Graduate School of Tokyo University of Science Student P-18 Evaluating the Clinical Relevance of FDA Dissolution Specifications Using PBBM-PK/PD Modeling Kohana Akiyama Faculty of Pharmaceutical Sciences, Tokyo University of Science Student P-19 Predicting Drug Exposure and Pharmacodynamic Effects Following Tablet Crushing Using PBBM and PK/PD Modeling Chisaki Akasaka Faculty of Pharmaceutical Sciences, Tokyo University of Science Student P-20 AI-Based Quantitative Field Potential Imaging for Cardiotoxicity Mechanism Prediction Using UHD-CMOS-MEA Shuri KIKUCHI Graduate School of Engineering, Tohoku Institute of Technology Student P-21 Predicting Biologic Therapy Response in Rheumatoid Arthritis via CDAI Trajectory Clustering and Machine Learning Kohsuke Miyazaki Keio University School of Medicine Student P-22 Development of a Prognostic Prediction System for Acute Liver Failure/Liver Injury Taiyo Oura, Raiki Yoshimura, Rina Tanaka, Shingo Iwami Department of Biological Science, Graduate School of Science, Nagoya University Student P-23 Two- and three-dimensional phenotyping Koji Noshita Kyushu University General P-24 Extracting Data from Messy Figures: Practical Development of a Digitizer Misaki Ishii Pfizer R&D Japan G.K. General P-25 Tailored Critical Care for Aneurysmal Subarachnoid Hemorrhage: Machine Learning-Guided Clustering[CANCELED] Tsubasa Miyauchi Department of Neurosurgery, Keio University School of Medicine General P-26 Exact Selective Inference for Spectral Clustering via Piecewise-Constant Graph Perturbation Naotoshi Nakamura School of Data Science, Yokohama City University General P-27 Evaluation of the utility of a simplified dermal absorption model in PBK modeling for next generation risk assessment Kazuya MAEDA Laboratory of Pharmaceutics, Kitasato University School of Pharmacy General P-28 Case studies to show the powerfulness of Cluster Gauss-Newton method for the quantitative PK analyses with PBPK modeling Kazuya Maeda School of Pharmacy, Kitasato University, Graduate School of Pharmaceutical Sciences, The University of Tokyo General P-29 VR-Driven Science Communication Kyoko Kojima, Shingo Iwami Department of Biological Science, Graduate School of Science, Nagoya University General 