Javascript must be enabled to continue!
Lost in modelling and simulation?
View through CrossRef
Over the past few decades, physiologically-based pharmacokinetic modelling (PBPK) has been anticipated to be a powerful tool to improve the productivity of drug discovery and development. However, recently, multiple systematic evaluation studies independently suggested that the predictive power of current oral absorption (OA) PBPK models needs significant improvement. There is some disagreement between the industry and regulators about the credibility of OA PBPK modelling. Recently, the editorial board of AMDET&DMPK has announced the policy for the articles related to PBPK modelling (Modelling and simulation ethics). In this feature article, the background of this policy is explained: (1) Requirements for scientific writing of PBPK modelling, (2) Scientific literacy for PBPK modelling, and (3) Middle-out approaches. PBPK models are a useful tool if used correctly. This article will hopefully help advance the science of OA PBPK models.
Title: Lost in modelling and simulation?
Description:
Over the past few decades, physiologically-based pharmacokinetic modelling (PBPK) has been anticipated to be a powerful tool to improve the productivity of drug discovery and development.
However, recently, multiple systematic evaluation studies independently suggested that the predictive power of current oral absorption (OA) PBPK models needs significant improvement.
There is some disagreement between the industry and regulators about the credibility of OA PBPK modelling.
Recently, the editorial board of AMDET&DMPK has announced the policy for the articles related to PBPK modelling (Modelling and simulation ethics).
In this feature article, the background of this policy is explained: (1) Requirements for scientific writing of PBPK modelling, (2) Scientific literacy for PBPK modelling, and (3) Middle-out approaches.
PBPK models are a useful tool if used correctly.
This article will hopefully help advance the science of OA PBPK models.
.
Related Results
The Fourth International Milton Symposium
The Fourth International Milton Symposium
Matthew Allen. “‘Entertaining the Irksome Hours’: Paradise Lost 2.521–76 as the Fallen Counterpart of Milton's Curriculum in Of Education.”Peter Auksi. “‘Considerate Building’: The...
Advanced Financial Modelling and Analysis
Advanced Financial Modelling and Analysis
Abstract: This chapter, "Advanced Financial Modelling and Analysis," provides an in-depth exploration of the principles, techniques, and applications of financial modelling in the ...
AI-infused patients for enhanced clinical simulation
AI-infused patients for enhanced clinical simulation
Artificial intelligence (AI) refers to the simulation of human intelligence in computers, allowing them to perform tasks that usually require human cognitive abilities, such as dec...
IPSE: A Production System Modelling Toolkit for Shell Expro
IPSE: A Production System Modelling Toolkit for Shell Expro
Abstract
To optimise production from complex field operation and systems, Shell Expro is developing a modelling toolkit where complete production system models (f...
In defence of deep modelling
In defence of deep modelling
© 2015 Elsevier B.V. Context Since multi-level modelling emerged as a strategy for leveraging classification levels in conceptual models, there have been discussions about what it ...
Modelling in the re-engineering process
Modelling in the re-engineering process
Terms like Business Process Re-engineering and Business Re-engineering have their origins in the publications of Hammer (Hammer, 199 0) and Davenport (Davenport & Short, 1990)....
Modular Circuit Synthesis Oriented Modelling Approach for Non-Isolated DC-DC Converters in DCM
Modular Circuit Synthesis Oriented Modelling Approach for Non-Isolated DC-DC Converters in DCM
The continued and envisioned large-scale integration of renewable energy sources as a reaction to rising global temperatures and climate change will need a readily available DC gri...
Constraining simulation uncertainties in a hydrological model of the Congo River Basin including a combined modelling approach for channel-wetland exchanges
Constraining simulation uncertainties in a hydrological model of the Congo River Basin including a combined modelling approach for channel-wetland exchanges
Compared to other large river basins of the world, such as the Amazon, the Congo River Basin appears to be the most ungauged and less studied. This is partly because the basin lack...

