Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug delivery systems
This book is based on the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project, which was created to derive intelligent computer model-based systems for optimization of biomedical drug delivery systems in the cases of diabetes, anaesthesia, and blood cancer. These systems can ensure reliable and fast calculation of the optimal drug dosage without the need for an online computer–while taking into account the specifics and constraints of the patient model, flexibility to adapt to changing patient characteristics and incorporation of the physician’s performance criteria, and maintaining the safety of the patients.
Modelling Optimization and Control of Biomedical Systems covers: mathematical modelling of drug delivery systems; model analysis, parameter estimation, and approximation; optimization and control; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based patient model; control design for volatile anaesthesia; multiparametric model based approach to intravenous anaesthesia; hybrid model predictive control strategies; Type I Diabetes Mellitus; in vitro and in silico block of the integrated platform for the study of leukaemia; chemotherapy treatment as a process systems application; and more.
* Introduces readers to the Modelling, Control and Optimization of Biomedical Systems (MOBILE) project
* Presents in detail the theoretical background, computational tools, and methods that are used in all the different biomedical systems
* Teaches the theory for multi-parametric mixed-integer programming and explicit optimal control of volatile anaesthesia
* Provides an overview of the framework for modelling, optimization, and control of biomedical systems
This book will appeal to students, researchers, and scientists working on the modelling, control, and optimization of biomedical systems and to those involved in cancer treatment, anaesthsia, and drug delivery systems.
Sobre o autor
Efstratios N. Pistikopoulos, Ph D, is the Interim Co-Director and Deputy Director of the Texas A&M Energy Institute, as well as a TEES Distinguished Research Professor in the Artie Mc Ferrin Department of Chemical Engineering at Texas A&M University. Professor Pistikopoulos received the Computing in Chemical Engineering Award from the American Institute of Chemical Engineers (AICh E) in 2012 and was elected Fellow of the Royal Academy of Engineering in the UK in 2013.
Ioana Na& #537cu, Ph D, MEng, is a Postdoctoral Research Associate at Artie Mc Ferrin Department of Chemical Engineering, Texas A&M University. Her research focuses on developing advanced multi-parametric optimization and control strategies for biomedical processes.
Eirini G. Velliou, Ph D, MEng, FHEA, is Principal Investigator and founder of the Bioprocess and Biochemical Engineering Group (Bio Pro Chem) at the Department of Chemical and Process Engineering of the University of Surrey. Her research focus includes cancer tissue engineering and environmental (cancer cell) stress response.
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