12 An introduction to quantitative systems pharmacology for chemical engineers
-
Roberto A. Abbiati
and
Cesar Pichardo
Abstract
Quantitative systems pharmacology (QSP) is a discipline that integrates experimental and mathematical modelling practice to perform a variety of analysis in the pharmaceutical research and development space. As the pharma industry strives for leaner product development, reduction of time and costs, and the implementation of the personalized medicine ambition, modeling and simulation approaches are recognized as pivotal components to achieve these goals. Since there are notable similarities between chemical engineering modelling approaches and those of QSP, our aspiration for this chapter is setting the stage for further contribution by engineers in this space. To this end, we provide a concise overview of the various modelling applications currently employed across the pharmaceutical research and development value chain. We then focus on QSP, detailing specific research areas that benefit from its use, the relevant mathematical modelling techniques, and emphasizing its parallels with chemical engineering modelling. Finally, we illustrate two concrete examples of QSP applications in oncological drug development.
Abstract
Quantitative systems pharmacology (QSP) is a discipline that integrates experimental and mathematical modelling practice to perform a variety of analysis in the pharmaceutical research and development space. As the pharma industry strives for leaner product development, reduction of time and costs, and the implementation of the personalized medicine ambition, modeling and simulation approaches are recognized as pivotal components to achieve these goals. Since there are notable similarities between chemical engineering modelling approaches and those of QSP, our aspiration for this chapter is setting the stage for further contribution by engineers in this space. To this end, we provide a concise overview of the various modelling applications currently employed across the pharmaceutical research and development value chain. We then focus on QSP, detailing specific research areas that benefit from its use, the relevant mathematical modelling techniques, and emphasizing its parallels with chemical engineering modelling. Finally, we illustrate two concrete examples of QSP applications in oncological drug development.
Chapters in this book
- Preface V
- List of contributing authors
-
Part I Chemical engineering and medicine
- 1 A systems engineering approach to medicine 3
-
Part II Modelling physiology
- 2 Computational modelling in liver system and liver disease 21
- 3 Inhaled aerosols as carriers of pulmonary medicines and the limitations of in vitro–in vivo correlation (IVIVC) methods 49
- 4 Modelling drug permeation across the skin: a chemical engineering perspective 73
- 5 Chemical engineering contribution to hemodialysis innovation: achieving the wearable artificial kidneys with nanomaterial-based dialysate regeneration 103
-
Part III Disease and treatment
- 6 Precision medicine in hypothyroidism: an engineering approach to individualized levothyroxine dosing 127
- 7 Glucose sensors in medicine: overview 167
- 8 Macroscopic transport models for drugs and vehicles in cancer tissues 185
- 9 Mathematical modelling of hollow-fiber haemodialysis modules 203
- 10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease 243
- 11 On the development of pharmacokinetic models for the characterisation and diagnosis of von Willebrand disease 263
-
Part IV Pharmacokinetics and drug delivery
- 12 An introduction to quantitative systems pharmacology for chemical engineers 293
- 13 A novel strategy for brain cancer treatment through a multiple emulsion system for simultaneous therapeutics delivery 315
- 14 Model-based dose selection for gene therapy for haemophilia B 333
- 15 Lipid-based nanoparticles for nucleic acids delivery 359
- Index
Chapters in this book
- Preface V
- List of contributing authors
-
Part I Chemical engineering and medicine
- 1 A systems engineering approach to medicine 3
-
Part II Modelling physiology
- 2 Computational modelling in liver system and liver disease 21
- 3 Inhaled aerosols as carriers of pulmonary medicines and the limitations of in vitro–in vivo correlation (IVIVC) methods 49
- 4 Modelling drug permeation across the skin: a chemical engineering perspective 73
- 5 Chemical engineering contribution to hemodialysis innovation: achieving the wearable artificial kidneys with nanomaterial-based dialysate regeneration 103
-
Part III Disease and treatment
- 6 Precision medicine in hypothyroidism: an engineering approach to individualized levothyroxine dosing 127
- 7 Glucose sensors in medicine: overview 167
- 8 Macroscopic transport models for drugs and vehicles in cancer tissues 185
- 9 Mathematical modelling of hollow-fiber haemodialysis modules 203
- 10 Chemical engineering methods in better understanding of blood hydrodynamics in atherosclerosis disease 243
- 11 On the development of pharmacokinetic models for the characterisation and diagnosis of von Willebrand disease 263
-
Part IV Pharmacokinetics and drug delivery
- 12 An introduction to quantitative systems pharmacology for chemical engineers 293
- 13 A novel strategy for brain cancer treatment through a multiple emulsion system for simultaneous therapeutics delivery 315
- 14 Model-based dose selection for gene therapy for haemophilia B 333
- 15 Lipid-based nanoparticles for nucleic acids delivery 359
- Index
