Research Articles
Structural vs. Parametric Uncertainty: A Framework for Robust Models in Drug Development
This article provides a comprehensive guide for researchers and drug development professionals on distinguishing and managing structural and parametric uncertainties in biomedical models.
Existence and Uniqueness Analysis in ABM Verification: A Foundational Framework for Credible Computational Models in Biomedicine
This article provides a comprehensive guide to existence and uniqueness analysis, a critical but often overlooked component of Agent-Based Model (ABM) verification.
Smoothness Analysis in Computational Models: Enhancing Predictiveness in Drug Development
This article provides a comprehensive guide to smoothness analysis for computational model outputs, tailored for researchers and professionals in drug development.
A Comprehensive Agent-Based Model Verification Workflow for Robust Biomedical Research and Drug Development
This article provides a detailed framework for the verification of Agent-Based Models (ABMs), with a specific focus on applications in drug development and biomedical research.
Hyperparameter Optimization for Computational Models: A Complete Guide for Biomedical Researchers
This article provides a comprehensive guide to hyperparameter optimization for researchers, scientists, and professionals in drug development and biomedical fields.
Taming Ill-Conditioning in Pharmaceutical Parameter Sweeps: From Theory to Regulatory-Grade Application
This article provides a comprehensive guide for researchers and drug development professionals on addressing the pervasive challenge of numerical ill-conditioning in parameter sweep studies.
Beyond Missing Values: A 2025 Guide to Incomplete Data Model Validation in Drug Development
This guide addresses the critical challenge of incomplete data in biomedical research, moving beyond simple identification to provide a comprehensive framework for validation.
Strategies for Reducing Overfitting in Machine Learning: A Guide for Biomedical Researchers
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on addressing the critical challenge of overfitting in computational models.
Stochastic Model Verification: Procedures for Validating Predictive Models in Drug Development
This article provides a comprehensive guide to stochastic model verification for researchers and professionals in drug development.
Fixing Discretization Error: A Researcher's Guide to Mesh Convergence in Biomedical Simulation
This article provides a comprehensive framework for researchers and drug development professionals to understand, execute, and validate mesh convergence studies in Finite Element Analysis.