Research Articles
Optimizing Biomedical Experiments: A Practical Guide to the Fisher Information Matrix for Efficient Drug Development
This article provides a comprehensive guide to the Fisher Information Matrix (FIM) and its pivotal role in optimal experimental design (OED) for biomedical and pharmaceutical research.
Optimizing Experimental Design to Sharpen Parameter Estimates and Narrow Confidence Intervals
This article provides a comprehensive guide for researchers and drug development professionals on how strategic experimental design reduces parameter confidence intervals, thereby enhancing the reliability and precision of biomedical research.
Additive vs. Combined Error Models in Pharmacometric Simulations: A Comprehensive Guide for Researchers
This article provides an in-depth exploration of additive and combined error models in simulation-based pharmacometric and biomedical research.
Mastering Error Model Selection: A Strategic Guide to Robust Kinetic Parameter Estimation in Biomedical Research
Accurate kinetic parameter estimation is fundamental for constructing predictive models in drug development and systems biology, yet it is critically dependent on the appropriate selection of error models.
Modern Data Science and Enzyme Kinetics: Precise Strategies for Batch vs. Fed-Batch Parameter Estimation
This article provides a comprehensive guide for researchers and bioprocess engineers on the critical task of estimating enzyme kinetic parameters within batch and fed-batch cultivation systems.
Strategic Timing: Mastering Optimal Sampling for Accurate Enzyme Kinetic Analysis in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on designing optimal sampling strategies for enzyme kinetic studies.
Optimal Substrate Concentration for Accurate Km Estimation: A Comprehensive Guide to Enzyme Kinetic Analysis
This article provides researchers, scientists, and drug development professionals with a detailed framework for optimizing substrate concentration to achieve reliable estimation of the Michaelis constant (Km).
Advancing Enzyme Kinetics: Precision Methods for Michaelis-Menten Parameter Estimation
This article provides researchers, scientists, and drug development professionals with a comprehensive guide to improving the precision of Michaelis-Menten parameter estimates.
From Uncertainty to Insight: Navigating Non-Identifiable Parameters in Enzyme Kinetic Analysis
This article addresses the pervasive challenge of non-identifiable parameters in enzyme kinetics, a critical bottleneck for predictive modeling in biochemistry and drug development.
Continuous vs. Stopped Assay Methods: A Strategic Guide to Kinetic Parameter Estimation for Drug Discovery
This article provides a comprehensive, practical framework for researchers and drug development professionals to select and optimize enzyme activity assay formats for kinetic parameter estimation.