1. Introduction to Quantitative Systems Pharmacology
2. Fundamentals of quantitative pharmacology
3. Multiscale modelling, from cells to membranes, tissues, organs, and systems/body
4. Pharma vectors and drug delivery systems
5. Drug release mechanisms
6. Anatomy of mammals and specifically of humans
7. Physiology of mammals and specifically of humans
8. Role of gender, race, age, body mass/surface, genetics, diseases on organs/tissues efficiency
9. Scalability among mammals: mice, rats, cats, dogs, horses, monkeys, humans
10. Administration, distribution, metabolism, and excretion mechanisms
11. In silico, in vitro, and in vivo models/data
12. Pharmacokinetic models (compartmental and physiologically based) for different drugs and administration pathways
13. Pharmacodynamic models
14. Multiscale models of PK and PD (from cells to whole body)
15. Allometric formula for interspecies adaptation of PK/PD models
16. Personalization of treatments
17. Monitoring and control of drug administration with applied case studies
18. Design of experiments, model identification and identifiability of models
19. Applications to drug individualized treatments and surgical operations
20. Methods and models for diagnosis of diseases
21. Challenges to develop model-based systems
Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications, Volume 42 describes and models at different scales the following topics: methods for diagnosis; administration and release of therapeutics; distribution metabolism and excretion of drugs; compartmental pharmacokinetics; physiologically-based pharmacokinetics; pharmacodynamics; identifiability of models; numerical methods for models identification; design of experiments; in vitro and in vivo models; allometric equations for scale-up from animals to humans; drug transport phenomena and methods; nanoparticles contribution; tumor PK and PD; system based approaches to drug treatments; model-based individualization of treatments; model predictive control of surgeries and treatments.
The pharma community is progressively acknowledging that a quantitative and systematic approach to drug administration, release, pharmacokinetics and pharmacodynamics is highly recommended to understand the mechanisms and effects of drugs. The book addresses the above questions with a quantitative approach to problem solving typical of engineers. The targeted contribution of a few medical doctors, pharmacists, biologists, and chemists enlarges the descriptive horizon and allows gathering the key elements necessary to model a complex machine like the human body from a number of perspectives and multiple scales.
- Outlines a model-based approach (based on Process Systems Engineering-OSE and Computer Aided Process Engineering-CAPE) in quantitative pharmacology
- Explains how therapeutics work in the human body and how anatomy and physiology influences drug efficacy
- Discusses how drugs are driven to specific targets using nanoparticles
- Offers insight into how in vitro and in vivo experiments help understand the drug mechanism of action and optimize their performance
- Includes case studies showing the positive outcome of these methods in personalized therapies, therapeutic drug monitoring, clinical trials analysis and drug formulation
Academic, government and corporate researchers in the area of quantitative pharmacology: bio-chemical engineers as well as mechanical and nuclear engineers, All involved in quantitative pharmacology such as pharmacists, biologists, chemists, and medical doctors, Mathematicians and physicists working on numerical modelling
- No. of pages:
- © Elsevier 2018
- 1st July 2018
- Hardcover ISBN:
Davide Manca received the M.Sc. in 1990 and the PhD in 1994, both on “Chemical Engineering” at Politecnico di Milano (POLIMI, Italy). He is professor of Process Systems Engineering and head of the PSE-Lab at POLIMI since 2002.
He is (co)author of more than 210 peer-reviewed publications on international journals and conferences with a few book chapters.
In more than twenty years of academic employment, he conjugated research activity
and industrial advice to make these worlds better interact and get benefit from their mutual collaboration. At the basis of Davide’s research is the modeling activity that has the quantification of what is analyzed as the final target. Design, simulation, control, optimization, and assessment are the main features that use computer algorithms and methods to produce the quantification of phenomena, processes, and plants.
Davide has taught Numerical Calculus, Dynamics and Control of Chemical Processes,
Process Systems Engineering. He has been the supervisor of tens of students involved in the bachelor, master, and PhD degrees.
He was founder and director of R&D and Engineering department at Virthualis, a spin- off company of POLIMI, working on operator training simulation in 3D immersive virtual environments.
Under his direction, PSE Lab has worked on a number of European and Italian research projects with a fruitful collaboration with international universities and companies.
PSE-Lab - Process Systems Engineering Laboratory, CMIC Chemical Engineering Department, Politecnico di Milano, Italy