Feedback Control for Personalized Medicine: A Comprehensive Guide

Author: Esteban A. Hernandez-Vargas

Published Date: April 21, 2022

Language: English

ISBN: 9780323901710, 9780323906654

Publisher: Elsevier Science

Feedback Control for Personalized Medicine provides insights into ongoing efforts and obstacles faced by members of the control engineering community in different biological and medical applications. The book presents key challenges, insights, tools, and theoretical developments that arise from personalized medicine, along with medical concepts explained by engineers to help non-experts follow research topics.

Several clinical trials have attempted to find therapeutic approaches to achieve eradication or at least lifelong, therapy-free, host control of the infection. This has been performed by integrating clinical observations, empirical knowledge, and information from medical tests to treat patients. As this trial and error approach is becoming more challenging and unfeasible due to the steep increase in the number of different pieces of information and the complexity of large datasets, a systematic and tractable approach that integrates a variety of biological and medical research data into mathematical models and computational algorithms is crucial to harness knowledge and to develop new therapies towards personalized medicine.

Key Features:

• Most Recent Research: Presents the most recent research in personalized medicine using control theoretical tools.
• Numerical Simulations: Offers numerical simulations that are analyzed in detail and compared with control experiments.
• Control Theory in Medicine: Brings the most recent research of control theory in medicine.

Why This Book Matters:

Feedback Control for Personalized Medicine is a comprehensive guide that integrates a variety of biological and medical research data into mathematical models and computational algorithms. It provides insights into the most recent research in personalized medicine using control theoretical tools, offering numerical simulations that are analyzed in detail and compared with control experiments. This book is essential for researchers, engineers, and medical professionals seeking to understand the latest developments in personalized medicine and control theory.

Conclusion:

Feedback Control for Personalized Medicine is a valuable resource for those interested in the intersection of control engineering, biology, and medicine. It provides a systematic and tractable approach to integrating a variety of biological and medical research data into mathematical models and computational algorithms, paving the way for new therapies towards personalized medicine.