Feedback Control for Personalized Medicine
eBook - ePub

Feedback Control for Personalized Medicine

  1. 246 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

Feedback Control for Personalized Medicine

Book details
Table of contents
Citations

About This Book

Feedback Control for Personalized Medicine provides ideas on ongoing efforts and obstacles by members of the control engineering community in different biological and medical applications. In addition, the book presents key challenges, insights, tools and theoretical developments that arise from personalized medicine, along with medical concepts that are explained by engineers to help non-experts follow research topics. Several clinical trials have tried to find therapeutic approaches to achieve eradication or at least lifelong, therapy-free, host control of the infection. This has been performed 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 by 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.

  • Presents the most recent research in personalized medicine using control theoretical tools
  • Offers numerical simulations that are analyzed in detail and compared with control experiments
  • Brings the most recent research of control theory in medicine

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Yes, you can access Feedback Control for Personalized Medicine by Esteban A. Hernandez-Vargas in PDF and/or ePUB format, as well as other popular books in Sciences biologiques & Biotechnologie. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2022
ISBN
9780323906654
Topic
Sciences biologiques
Subtopic
Biotechnologie

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Contributors
  7. About the editor
  8. Preface
  9. Acknowledgments
  10. Chapter 1: Closing the loop in personalized medicine
  11. Chapter 2: Optimal control strategies to tailor antivirals for acute infectious diseases in the host: a study case of COVID-19
  12. Chapter 3: Input-output approaches for personalized drug dosing of antibiotics
  13. Chapter 4: Safe glycemia regulation considering parameter variations under the offset-free MPC with pulse inputs scheme
  14. Chapter 5: Deep neuronal network-based glucose prediction for personalized medicine
  15. Chapter 6: Control-based drug tailoring schemes towards personalized influenza treatment
  16. Chapter 7: Polynomial state estimation in infectious diseases
  17. Chapter 8: Sliding mode control theory interprets elite control of HIV
  18. Chapter 9: A stochastic model for hepatitis C viral infection dynamics with the innate immune response
  19. Chapter 10: Impulsive nonlinear MPC with application to oncolytic virus therapy
  20. Chapter 11: Is the isolated heart a relaxation-oscillator?
  21. Index