Introduction/Objectives The model-building process involves a series of decisions, for example on the search scope, the model selection criteria, and…
Read morePoster: Methodology - New Modelling Approaches
Multi-Objective Optimization for Population Pharmacokinetic Model Selection: Evaluating NSGA-III Performance
Objectives: Non-dominated sorting genetic algorithm III (NSGA-III) is an evolutionary algorithm intended to solve multi-objective optimization (MOO) problems, particularly those…
Read moreBeyond averages: Why capturing cellular variability matters in viral dynamic modeling.
Introduction and objectives: Lytic viruses, such as oncolytic viruses and bacteriophages, follow complex replication dynamics in codependence with their host…
Read moreModeling Targeted Radionuclide Therapy: General Approach to Optimize Dose Selection
Introduction: Targeted Radionuclide Therapy (TRT) has emerged as a promising cancer treatment modality, offering significant advantages over existing approaches. This…
Read moreTowards precision modeling for accurate tumour growthprediction leveraging multiple modalities
1 Introduction/Objectives: Traditional mathematical models in oncology often utilize ordinary differential equations (ODEs) to describe tumor responses to treatment, linking…
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