Agenda

Poster Session

  • P-01

    Xiangjie Sun

    Centers for Disease Control and Prevention

    Dissecting the multifactorial roles of influenza A virus receptor binding specificity in the airborne transmission dynamics of an H9N2 virus

  • P-02

    Marwa Akao

    Nagoya University

    Investigating the relationship between influenza viral dynamics and clinical symptoms using data from Phase 3 clinical trials of oseltamivir

  • P-03

    Troy Kieran

    Centers for Disease Control and Prevention

    Using machine learning to identify predictive correlates in ferret in vivo model data for influenza A risk assessment.

  • P-04

    Shotaro Yamamoto

    Nagoya University

    Estimation of treatment efficacy of drug candidates against mpox virus in combination

  • P-05

    Maureen Rebecca Smith

    Robert Koch-Institute

    Genome-based incidence estimation of SARS-CoV-2 with GInPipe

  • P-06

    Daiki Tatematsu

    Nagoya University

    Detection of changes in viral load in a randomized controlled trial of an anti-SARS-CoV-2 drug with high entry inhibition efficacy.

  • P-07

    Sharmin Nahar Sithi

    Kumamoto University

    Establishment of recombinant HIV with timer fluorescence protein to visualize virus transcription

  • P-08

    Takara Nishiyama

    Nagoya University

    Quantitative analysis of the antiviral effect of mucosal antibodies to suppress infectious SARS-CoV-2 shedding.

  • P-10

    Kosaku Kitagawa

    Nagoya University

    Simulating booster vaccinations: a case study of Fukushima Vaccination Cohort

  • P-11

    Hyeongki Park

    Nagoya University

    Heterogeneity in duration of viral shedding in COVID-19 patient fs saliva may not be explained by basic clinical and micro-RNA information

  • P-12

    Mizuka Komatsu

    Kobe University

    Algebra-assisted PINN approach for SEIR modeling with unobserved variables

  • P-13

    Yong Dam Jeong

    Nagoya University

    Effective screening with antigen tests for identifying COVID-19 patients: simulation with viral dynamics model

  • P-14

    Jun Koseki

    Nagoya University

    Analysis of antiviral drug resistance caused by amino acid mutations

  • P-15

    Choi Sooyoun

    Nagoya University/ Pusan National University

    Prediction of the indicator for determining immune reconstruction syndrome (IRIS)-induced hepatic flare (HF) in HBV/HIV co-infected patients

  • P-16

    Ryuichi Kumata

    The Graduate University of Advanced Studies, SOKENDAI

    Evolutionary dynamics of virulence of helper and satellite viruses

  • P-17

    Joohyeon Woo

    Nagoya University

    Different efficacies of neutralizing antibodies and antiviral drugs on SARS-CoV-2 Omicron subvariants, BA.1 and BA.2

  • P-18

    Yusuke Asai

    National Center for Global Health and Medicine

    Estimating the effect of medical intervention on the arrival time of infectious diseases

  • P-19

    Megumi Oya

    RIKEN

    An interpretable machine learning framework for monitoring and stratifying the time-varying prognostic risk of diseases

  • P-20

    Kyoko Kojima

    Nagoya University

    Public relations strategies for the non-scientific community in virus dynamics research

  • P-21

    Yoshitaka Sato

    Nagoya University Graduate School of Medicine

    Heterogeneity of individual B lymphocytes during transformation by Epstein-Barr virus infection

  • P-22

    Takeru Matsuura

    Nagoya University

    A machine learning model for predicting hepatocarcinogenesis in chronic hepatitis B patients

  • P-23

    Shoya Iwanami

    Nagoya University

    Quantification of age-related changes in hematopoietic stem cell differentiation