research-article

TUCUXI: An Intelligent System for Personalized Medicine from Individualization of Treatments to Research Databases and Back

Authors:

Alevtina Dubovitskaya,

Thierry Buclin,

Michael Schumacher,

Karl Aberer,

Yann ThomaAuthors Info & Claims

ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics

Pages 223 - 232

https://doi.org/10.1145/3107411.3107439

Published: 20 August 2017 Publication History

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Abstract

Therapeutic Drug Monitoring (TDM) is a key concept in precision medicine. The goal of TDM is to avoid therapeutic failure or toxic effects of a drug due to insufficient or excessive circulating concentration exposure related to between-patient variability in the drug's disposition. We present TUCUXI - an intelligent system for TDM. By making use of embedded mathematical models, the software allows to compute maximum likelihood individual predictions of drug concentrations from population pharmacokinetic data, based on patient's parameters and previously observed concentrations. TUCUXI was developed to be used in medical practice, to assist clinicians in taking dosage adjustment decisions for optimizing drug concentration levels. This software is currently being tested in a University Hospital. In this paper we focus on the process of software integration in clinical workflow. The modular architecture of the software allows us to plug in a module enabling data aggregation for research purposes. This is an important feature in order to develop new mathematical models for drugs, and thus to improve TDM. Finally we discuss ethical issues related to the use of an automated decision support system in clinical practice, in particular if it allows data aggregation for research purposes.

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Cited By

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Thoma YCathignol APétermann YSariko MSaid BCsajka CGuidi MMpagama S(2024)Toward a Clinical Decision Support System for Monitoring Therapeutic Antituberculosis Medical Drugs in Tanzania (Project TuberXpert): Protocol for an Algorithm' Development and ImplementationJMIR Research Protocols10.2196/5872013(e58720)Online publication date: 21-Oct-2024
https://doi.org/10.2196/58720
Alrahahleh DThoma YVan Daele RNguyen THalena SLuig MStocker SKim HAlffenaar J(2024)Bayesian Vancomycin Model Selection for Therapeutic Drug Monitoring in NeonatesClinical Pharmacokinetics10.1007/s40262-024-01353-863:3(367-380)Online publication date: 28-Feb-2024
https://doi.org/10.1007/s40262-024-01353-8
Del Valle-Moreno PSuarez-Casillas PMejías-Trueba MCiudad-Gutiérrez PGuisado-Gil AGil-Navarro MHerrera-Hidalgo L(2023)Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping ReviewPharmaceutics10.3390/pharmaceutics1507185915:7(1859)Online publication date: 1-Jul-2023
https://doi.org/10.3390/pharmaceutics15071859
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Index Terms

TUCUXI: An Intelligent System for Personalized Medicine from Individualization of Treatments to Research Databases and Back
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Information

Published In

ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics

August 2017

800 pages

ISBN:9781450347228

DOI:10.1145/3107411

General Chairs:
Nurit Haspel
University of Massachusetts Boston, USA
,
Lenore J. Cowen
Tufts University, USA
,
Program Chairs:
Amarda Shehu
George Mason University, USA
,
Tamer Kahveci
University of Florida, USA
,
Giuseppe Pozzi
Politecnico di Milano, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 August 2017

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Research-article

Funding Sources

SNSF Nano-Tera.ch

Conference

BCB '17

Sponsor:

SIGBio

BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

August 20 - 23, 2017

Massachusetts, Boston, USA

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ACM-BCB '17 Paper Acceptance Rate 42 of 132 submissions, 32%;

Overall Acceptance Rate 254 of 885 submissions, 29%

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Citations

Cited By

View all

Thoma YCathignol APétermann YSariko MSaid BCsajka CGuidi MMpagama S(2024)Toward a Clinical Decision Support System for Monitoring Therapeutic Antituberculosis Medical Drugs in Tanzania (Project TuberXpert): Protocol for an Algorithm' Development and ImplementationJMIR Research Protocols10.2196/5872013(e58720)Online publication date: 21-Oct-2024
https://doi.org/10.2196/58720
Alrahahleh DThoma YVan Daele RNguyen THalena SLuig MStocker SKim HAlffenaar J(2024)Bayesian Vancomycin Model Selection for Therapeutic Drug Monitoring in NeonatesClinical Pharmacokinetics10.1007/s40262-024-01353-863:3(367-380)Online publication date: 28-Feb-2024
https://doi.org/10.1007/s40262-024-01353-8
Del Valle-Moreno PSuarez-Casillas PMejías-Trueba MCiudad-Gutiérrez PGuisado-Gil AGil-Navarro MHerrera-Hidalgo L(2023)Model-Informed Precision Dosing Software Tools for Dosage Regimen Individualization: A Scoping ReviewPharmaceutics10.3390/pharmaceutics1507185915:7(1859)Online publication date: 1-Jul-2023
https://doi.org/10.3390/pharmaceutics15071859
Lee SYoon SKim HKim SLee WChun SMin W(2023)Improving the Work Efficiency of Therapeutic Drug Monitoring Reports Through the Establishment of an Automated Data Transfer SystemAnnals of Laboratory Medicine10.3343/alm.2023.43.6.62843:6(628-631)Online publication date: 30-Jun-2023
https://doi.org/10.3343/alm.2023.43.6.628
Philippe MGuitton JGoutelle SThoma YFavier BChtiba NMichallet MBelhabri A(2023)Pharmacokinetic Consideration of Venetoclax in Acute Myeloid Leukemia Patients: A Potential Candidate for TDM? A Short CommunicationTherapeutic Drug Monitoring10.1097/FTD.0000000000001151Online publication date: 8-Nov-2023
https://doi.org/10.1097/FTD.0000000000001151
Goutelle SThoma YBuffet RPhilippe MBuclin TGuidi MCsajka C(2022)Implementation and Cross-Validation of a Pharmacokinetic Model for Precision Dosing of Busulfan in Hematopoietic Stem Cell Transplanted ChildrenPharmaceutics10.3390/pharmaceutics1410210714:10(2107)Online publication date: 1-Oct-2022
https://doi.org/10.3390/pharmaceutics14102107
Choong ESauty AKoutsokera ABlanchon SAndré PDecosterd L(2022)Therapeutic Drug Monitoring of Ivacaftor, Lumacaftor, Tezacaftor, and Elexacaftor in Cystic Fibrosis: Where Are We Now?Pharmaceutics10.3390/pharmaceutics1408167414:8(1674)Online publication date: 11-Aug-2022
https://doi.org/10.3390/pharmaceutics14081674
Courlet PCardoso EBandiera CStravodimou AZurcher JChtioui HLocatelli IDecosterd LDarnaud LBlanchet BAlexandre JWagner AZaman KSchneider MGuidi MCsajka C(2022)Population Pharmacokinetics of Palbociclib and Its Correlation with Clinical Efficacy and Safety in Patients with Advanced Breast CancerPharmaceutics10.3390/pharmaceutics1407131714:7(1317)Online publication date: 21-Jun-2022
https://doi.org/10.3390/pharmaceutics14071317
Suttels VAndré PThoma YVeuve FDecosterd LGuery BBuclin T(2022)Therapeutic drug monitoring of cefepime in a non-critically ill population: retrospective assessment and potential role for model-based dosingJAC-Antimicrobial Resistance10.1093/jacamr/dlac0434:2Online publication date: 21-Apr-2022
https://doi.org/10.1093/jacamr/dlac043
Dao KFuchs AAndré PGiannoni EDecosterd LMarchetti OAsner SPfister MWidmer NBuclin TCsajka CGuidi M(2021)Dosing strategies of imipenem in neonates based on pharmacometric modelling and simulationJournal of Antimicrobial Chemotherapy10.1093/jac/dkab394Online publication date: 17-Nov-2021
https://doi.org/10.1093/jac/dkab394
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