Mathematical & Computational Sciences

(M-004) MBMA Bridging Models as A Tool for Exploration of Clinical Endpoints in Unstudied Indications.

(M-014) A systematic efficacy analysis of multidrug therapies for tuberculosis using a multi-scale agent-based model

(M-023) Evaluating the Importance of Glucagon in the Insulin-Glucose Regulatory System: A Mechanistic Modeling Approach

(M-033) babelmixr2 and PopED: Quick Conversion of NONMEM, Monolix and nlmixr2/rxode2 Models to PopED Optimal Design Analysis

(M-071) Mechanistic mathematical model of emicizumab

(M-097) Automatic differentiation, a possible solution to numerical instability in Population PK parameter estimation

(T-045) Mixed effect state space model application for data driven pharmacometrics modeling

(T-047) FIVEDB as a tool for analysis of in vitro experimental data: cytokine production by primary cells and cell lines

(T-071) A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data

(T-075) Enhancing Parameter Estimation Process for Pharmacokinetic-Pharmacodynamic Models with Meta-heuristic Optimization Approaches

(T-097) Model Predictive Control Regulates Blood Pressure During Simulated Kidney Replacement Therapy

(T-108) Comparison of NONMEM and AI-Based Approaches for Population Pharmacokinetic Simulations to Support Model-Informed Drug Development

(W-057) Optimizing Drug Development: Assessing Small Language Models for Efficient Drug-Drug Interaction Data Extraction

(W-081) Quantifying dengue natural immunity and probability of disease using serum antibody titers

(W-084) Exploring the feasibility of using AI to identify patient characteristics predictive of histological endpoints in metabolic dysfunction associated steatohepatitis (MASH)

(W-086) Prediction of progression free survival using tumor growth inhibition models: Effect of model uncertainty, inter-individual variability and observational noise on prediction accuracy

(W-097) Predicting pharmacokinetic profile of small molecule drugs based on chemical structure using machine learning.

(W-101) Development of a Population PK model for an inhaled drug

(W-116) Simultaneous Population PKPD Analysis of Belantamab Mafodotin, Soluble BCMA, and Serum M-Protein in Subjects With Relapsed/Refractory Multiple Myeloma (RRMM)