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Cover of Modelling Optimization and Control of Biomedical Systems

Modelling Optimization and Control of Biomedical Systems

Written by Efstratios N. Pistikopoulos,Ioana Nascu,Eirini G. Velliou

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342 pages, about 7 hours of reading

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About this book

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.

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Reading guide

Themes, characters and key ideas in Modelling Optimization and Control of Biomedical Systems, written by Chaptra AI.

  • about 35 hours
  • advanced
  • Informative
  • Technical
  • Rigorous

Modelling Optimization and Control of Biomedical Systems is a highly specialized academic book detailing the newest developments in multi-parametric model predictive control (mp-MPC) and optimization, specifically applied to biomedical drug delivery systems. Born from the MOBILE project, it presents intelligent computer model-based systems designed to optimize drug dosages for conditions such as diabetes, anaesthesia, and blood cancer. The book emphasizes ensuring patient safety, adapting to individual patient characteristics, and incorporating physician criteria for reliable and fast optimal drug calculation without requiring online computation. It provides a comprehensive theoretical background, computational tools, and practical applications for students, researchers, and scientists working in biomedical systems.

The ultimate goal is to ensure reliable and fast calculation of the optimal drug dosage without the need for an online computer.

Key themes

Patient Safety and Efficacy
Underlying all the technical developments is the paramount goal of maintaining patient safety while ensuring treatment efficacy. The book discusses how control strategies are designed with inherent safety margins and constraints to prevent adverse events and ensure reliable therapeutic outcomes, balancing potent therapies with patient well-being.
Optimization of Drug Delivery
This theme is central to the book, exploring the mathematical and computational methods used to determine the most effective and safe drug dosages. It delves into how multi-parametric programming and model predictive control are employed to achieve optimal therapeutic outcomes while minimizing side effects.
Personalized Medicine and Patient-Specific Control
The book strongly emphasizes tailoring drug delivery systems to individual patient characteristics. It explores how models can adapt to changing patient conditions and incorporate specific physiological constraints, moving away from 'one-size-fits-all' treatments towards highly individualized therapeutic strategies.

Worth discussing

What are the primary ethical considerations when implementing autonomous or semi-autonomous drug delivery systems based on mp-MPC?

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