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  • 1
    Online Resource
    Online Resource
    London, UK : Academic Press
    UID:
    (DE-627)1833030079
    Format: 1 Online-Ressource
    ISBN: 9780323906654 , 0323906656
    Note: Includes index , 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 -- References -- 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 -- References -- 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
    Additional Edition: 0323901719
    Additional Edition: Erscheint auch als Online-Ausgabe 9780323906654
    Additional Edition: Erscheint auch als 0323901719
    Additional Edition: 9780323901710
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    London, UK : Academic Press | [Amsterdam] : Elsevier ScienceDirect
    UID:
    (DE-603)501267166
    ISBN: 9780323906654 , 0323906656
    Note: Includes index
    Additional Edition: 9780323901710
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    London, England :Academic Press,
    UID:
    (DE-602)almahu_9949291093802882
    Format: 1 online resource (309 pages)
    ISBN: 0-323-90665-6
    Additional Edition: Print version: Hernandez-Vargas, Esteban A. Feedback Control for Personalized Medicine San Diego : Elsevier Science & Technology,c2022 ISBN 9780323901710
    Language: English
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  • 4
    Online Resource
    Online Resource
    London ; San Diego, CA : Academic Press
    UID:
    (DE-604)BV046623371
    Format: 1 online resource ( xiii, 242 pages.)
    ISBN: 9780128131114 , 012813111X
    Note: Description based on print version record
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780128130520
    Additional Edition: ISBN 0128130520
    Additional Edition: ebook version ISBN 9780128131114
    Language: English
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  • 5
    Online Resource
    Online Resource
    London, England :Academic Press,
    UID:
    (DE-602)edoccha_9960707224002883
    Format: 1 online resource (309 pages)
    ISBN: 0-323-90665-6
    Additional Edition: Print version: Hernandez-Vargas, Esteban A. Feedback Control for Personalized Medicine San Diego : Elsevier Science & Technology,c2022 ISBN 9780323901710
    Language: English
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  • 6
    Online Resource
    Online Resource
    London : Elsevier AP Academic Press
    UID:
    (DE-605)HT020030551
    Format: 1 Online-Ressource (xiii, 243 Seiten) , Illustrationen
    ISBN: 9780128131114
    Additional Edition: Erscheint auch als Druck-Ausgabe 9780128130520
    Language: English
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  • 7
    UID:
    (DE-603)446776009
    Format: xiii, 242 Seiten , Illustrationen, Diagramme
    ISBN: 9780128130520
    Note: Literaturverzeichnis Seite 221-235
    Language: English
    Subjects: Mathematics
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    Online Resource
    Online Resource
    San Diego : Elsevier Science & Technology
    UID:
    (DE-627)1800554974
    Format: 1 online resource (248 pages)
    ISBN: 9780323906654
    Content: 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 -- 2.3.3 Attractivity of set Xsst -- 2.3.4 Local ε-δ stability of Xsst -- 2.3.5 Asymptotic stability of Xsst -- 2.3.6 U∞ as a function of initial conditions -- 2.3.7 Simulation example -- 2.4 Inclusion of PK and PD of antiviral treatment -- 2.4.1 Impulsive scheme -- 2.4.2 Simulation example -- 2.5 Control strategies to tailor therapies -- 2.5.1 First control objective: maximizing the final value of the uninfected cells -- 2.5.2 Second control objective: minimizing the virus peak -- 2.6 Simulation results -- 2.6.1 Strong long-term treatment. Virus rebound -- 2.6.2 Soft long-term treatment -- 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 -- References -- 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 -- 3.3.5 Drawbacks and advantages of the I/O approach -- 3.4 State estimation and feedback control law -- 3.5 Conclusion.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: 9780323901710
    Additional Edition: Erscheint auch als Druck-Ausgabe 9780323901710
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    London, England :Academic Press,
    UID:
    (DE-602)edocfu_9960707224002883
    Format: 1 online resource (309 pages)
    ISBN: 0-323-90665-6
    Additional Edition: Print version: Hernandez-Vargas, Esteban A. Feedback Control for Personalized Medicine San Diego : Elsevier Science & Technology,c2022 ISBN 9780323901710
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    Online Resource
    Online Resource
    London, UK : Academic Press
    UID:
    (DE-627)1827632003
    Format: 1 Online-Ressource
    ISBN: 0323906656
    Note: Includes index , 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 -- References -- 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 -- References -- 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
    Additional Edition: 9780323906654
    Additional Edition: 9780323901710
    Additional Edition: 0323901719
    Additional Edition: Erscheint auch als Online-Ausgabe 9780323906654
    Additional Edition: Erscheint auch als 0323901719
    Additional Edition: 9780323901710
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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