Feedback control for personalized medicine / edited by Esteban A. Hernandez-Vargas.

Format:

Book

Contributor:

Hernandez-Vargas, Esteban A.

ScienceDirect (Online service)

Rosengarten Family Fund.

Language:

English

Subjects (All):

Biomedical engineering.

Precision medicine.

Feedback control systems.

Precision Medicine.

Medical Subjects:

Precision Medicine.

Physical Description:

1 online resource

Place of Publication:

London, UK : Academic Press, 2022.

Contents:

Front Cover

Feedback Control for Personalized Medicine

Copyright

Contents

Contributors

About the editor

Preface

Acknowledgments

1 Closing the loop in personalized medicine

References

2 Optimal control strategies to tailor antivirals for acute infectious diseases in the host: a study case of COVID-19

2.1 Introduction

2.1.1 Notation

2.2 Review of the target cell limited model for in-host infection

2.3 Equilibrium characterization and stability

2.3.1 Asymptotic stability of the equilibrium sets

2.3.2 Stability theory

2.6.3 Quasioptimal single interval treatment

2.6.4 Short-term treatment

2.6.5 Two-step treatment, lowering the peak of V

2.7 Conclusions and future works

3 Input-output approaches for personalized drug dosing of antibiotics

3.1 Introduction

3.2 Population pharmacokinetic model

3.2.1 State-space representation

3.2.2 System analysis

3.2.3 Case study: model of meropenem

3.3 Individualized drug dosing

3.3.1 Input-output analysis

3.3.2 Input-output formula for drug dosing

3.3.3 ``Worst-case'' analysis

3.3.4 PTA analysis

4.5.3 The switching signal

4.5.4 Coupling the safety layer with the offset-free strategy

4.6 Conclusion

5 Deep neuronal network-based glucose prediction for personalized medicine

5.1 Introduction

5.2 Deep neural networks

5.2.1 Recurrent neuronal networks

5.2.2 Long short-term memory recurrent neural network

5.2.3 Bidirectional LSTM

5.2.4 Multilayer networks

5.3 Direct multistep ahead prediction strategy

5.4 System description

5.4.1 Dataset description

5.4.2 Neuronal network configuration using CGM

5.5 Results

5.6 Conclusion and discussion

Notes:

Includes index.

Electronic reproduction. Amsterdam Available via World Wide Web.

Local Notes:

Acquired for the Penn Libraries with assistance from the Rosengarten Family Fund.

Other Format:

ebook version :

ISBN:

9780323906654

0323906656

Publisher Number:

40031194125

Access Restriction:

Restricted for use by site license.