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1.
Population pharmacokinetic model of rifampicin for personalized tuberculosis pharmacotherapy: Effects of SLCO1B1 polymorphisms on drug exposure.
Int J Antimicrob Agents
; 63(2): 107034, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-37977236
2.
Advancing personalized medicine for tuberculosis through the application of immune profiling.
Front Cell Infect Microbiol
; 13: 1108155, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36844400
3.
Comprehensive lipid profiles investigation reveals host metabolic and immune alterations during anti-tuberculosis treatment: Implications for therapeutic monitoring.
Biomed Pharmacother
; 158: 114187, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-36916440
4.
Multimodal plasma metabolomics and lipidomics in elucidating metabolic perturbations in tuberculosis patients with concurrent type 2 diabetes.
Biochimie
; 211: 153-163, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37062470
5.
Recommendation of pharmacokinetics/pharmacodynamics target of ethambutol to suppress tuberculosis resistance: A population pharmacokinetics study on a large prospective cohort.
Int J Antimicrob Agents
; 62(2): 106840, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37160240
6.
Development of population pharmacokinetics model and Bayesian estimation of rifampicin exposure in Indonesian patients with tuberculosis.
Tuberculosis (Edinb)
; 139: 102325, 2023 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36841141
7.
Development of a population pharmacokinetic model of pyrazinamide to guide personalized therapy: impacts of geriatric and diabetes mellitus on clearance.
Front Pharmacol
; 14: 1116226, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37305528
8.
Semi-Automated Therapeutic Drug Monitoring as a Pillar toward Personalized Medicine for Tuberculosis Management.
Pharmaceutics
; 14(5)2022 May 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-35631576
9.
Development of population pharmacokinetics model of isoniazid in Indonesian patients with tuberculosis.
Int J Infect Dis
; 117: 8-14, 2022 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-35017103
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