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Quantitative Systems Pharmacology
Models and Model-Based Systems with Applications
- 1st Edition, Volume 42 - July 18, 2018
- Editor: Davide Manca
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 6 3 9 6 4 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 4 - 6 3 9 6 7 - 7
Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications, Volume 42, provides a quantitative approach to problem-solving that is targeted to engineers… Read more
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Request a sales quoteQuantitative Systems Pharmacology: Models and Model-Based Systems with Applications, Volume 42, provides a quantitative approach to problem-solving that is targeted to engineers. The book gathers the contributions of doctors, pharmacists, biologists, and chemists who give key information on the elements needed to model a complex machine like the human body. It presents information on diagnoses, 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, and more.
As 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, this book is a timely resource.
- 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: 418
- Language: English
- Edition: 1
- Volume: 42
- Published: July 18, 2018
- Imprint: Elsevier
- Hardback ISBN: 9780444639646
- eBook ISBN: 9780444639677
DM
Davide Manca
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.
Affiliations and expertise
PSE-Lab - Process Systems Engineering Laboratory, CMIC Chemical Engineering Department, Politecnico di Milano, ItalyRead Quantitative Systems Pharmacology on ScienceDirect