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Closed-loop control for precision antimicrobial delivery: an In silico proof-of-concept

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Title: Closed-loop control for precision antimicrobial delivery: an In silico proof-of-concept
Authors: Herrero, P
Rawson, TM
Philip, A
Moore, LSP
Holmes, AH
Georgiou, P
Item Type: Journal Article
Abstract: IEEE Objective: Inappropriate dosing of patients with antibiotics is a driver of antimicrobial resistance, toxicity, and poor outcomes of therapy. In this paper, we investigate, in silico, the hypothesis that the use of a closed-loop control system could improve the attainment of pharmacokinetic-pharmacodynamic targets for antimicrobial therapy, where wide variations in target attainment have been reported. This includes patients in critical care, patients with renal disease and patients with obesity.
Issue Date: 1-Oct-2018
Date of Acceptance: 25-Dec-2017
URI: http://hdl.handle.net/10044/1/56020
DOI: 10.1109/TBME.2017.2787423
ISSN: 0018-9294
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 2231
End Page: 2236
Journal / Book Title: IEEE Transactions on Biomedical Engineering
Volume: 65
Issue: 10
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: National Institute for Health Research
National Institute for Health Research
National Institute for Health Research
National Institute for Health Research
Funder's Grant Number: HPRU-2012-10047
HPRU-2012-10047
II-LA-0214-20008
II-LA-0214-20008
Keywords: Science & Technology
Technology
Engineering, Biomedical
Engineering
Antimicrobial resistance
closed-loop control
PID control
precision medicine
TROUGH CONCENTRATIONS
VANCOMYCIN
INFECTIONS
INFUSION
0903 Biomedical Engineering
0906 Electrical And Electronic Engineering
0801 Artificial Intelligence And Image Processing
Biomedical Engineering
Publication Status: Published
Online Publication Date: 2017-12-25
Appears in Collections:Electrical and Electronic Engineering
Department of Medicine (up to 2019)
Faculty of Engineering