Lina Keutzer

ORCID: 0000-0002-4379-2912
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About
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Research Areas
  • Tuberculosis Research and Epidemiology
  • Antibiotics Pharmacokinetics and Efficacy
  • Cancer therapeutics and mechanisms
  • Health Systems, Economic Evaluations, Quality of Life
  • Biomedical Ethics and Regulation
  • Pharmacogenetics and Drug Metabolism
  • Digital Mental Health Interventions
  • Phenothiazines and Benzothiazines Synthesis and Activities
  • Computational Drug Discovery Methods
  • Biosimilars and Bioanalytical Methods
  • Health Literacy and Information Accessibility
  • Biomedical and Engineering Education
  • Mobile Health and mHealth Applications
  • Statistical Methods in Clinical Trials
  • Pneumocystis jirovecii pneumonia detection and treatment
  • Metabolomics and Mass Spectrometry Studies
  • Antimicrobial Resistance in Staphylococcus

Uppsala University
2019-2023

Pharmacometrics (PM) and machine learning (ML) are both valuable for drug development to characterize pharmacokinetics (PK) pharmacodynamics (PD). Pharmacokinetic/pharmacodynamic (PKPD) analysis using PM provides mechanistic insight into biological processes but is time- labor-intensive. In contrast, ML models much quicker trained, offer less insights. The opportunity of predictions PK as input a PKPD model could strongly accelerate efforts. Here exemplified by rifampicin, widely used...

10.3390/pharmaceutics14081530 article EN cc-by Pharmaceutics 2022-07-22

The Poly Implant Prothèse (PIP) scandal in France prompted a revision of the regulations regarding marketing medical devices. new Medical Device Regulation (MDR [EU]) 2017/745 was developed and entered into force on May 25, 2017. After transition period 3 years, must be implemented all EU European Economic Area member states. implementation this regulation bears many changes for device development marketing, including software mobile apps. is complex process by which manufacturers keep...

10.2196/17567 article EN cc-by JMIR mhealth and uhealth 2020-05-04

The treatment success rate of drug-resistant (DR) tuberculosis is alarmingly low. Therefore, more effective and less complex regimens are urgently required.

10.1093/infdis/jiab043 article EN The Journal of Infectious Diseases 2021-01-21

Linezolid is an efficacious medication for the treatment of drug-resistant tuberculosis but has been associated with serious safety issues that can result in interruption. The objectives this study were thus to build a population pharmacokinetic model and use developed establish model-informed precision dosing (MIPD) algorithm enabling safe patients multidrug- extensively tuberculosis. Routine hospital therapeutic drug monitoring data, collected from 70 receiving linezolid, was used...

10.3390/pharmaceutics14040753 article EN cc-by Pharmaceutics 2022-03-30

Rifampicin exhibits complexities in its pharmacokinetics (PK), including high inter-occasion variability (IOV), which is challenging for dose individualization. Model-informed precision dosing (MIPD) can be used to optimize individual doses. In this simulation-based study we investigated the magnitude of IOV rifampicin PK on an exposure level, impact not acknowledging when performing MIPD, and number sampling occasions needed forecast dose. Subjects with drug-susceptible tuberculosis (TB)...

10.3389/fphar.2020.00794 article EN cc-by Frontiers in Pharmacology 2020-05-27

Long-term usage of linezolid can result in adverse events such as peripheral neuropathy, anemia and thrombocytopenia. Therapeutic drug monitoring data from 75 drug-resistant tuberculosis patients treated with were analyzed using a time-to-event (TTE) approach for neuropathy indirect response modelling Different time-varying pharmacokinetic exposure indices (AUC0–24h,ss, Cav, Cmax Cmin) patient characteristics investigated risk factors. A treatment duration shorter than 3 months was...

10.3390/ph16111575 article EN cc-by Pharmaceuticals 2023-11-08

<sec> <title>UNSTRUCTURED</title> The Poly Implant Prothèse (PIP) scandal in France prompted a revision of the regulations regarding marketing medical devices. new Medical Device Regulation (MDR [EU]) 2017/745 was developed and entered into force on May 25, 2017. After transition period 3 years, must be implemented all EU European Economic Area member states. implementation this regulation bears many changes for device development marketing, including software mobile apps. is complex process...

10.2196/preprints.17567 preprint EN 2019-12-20
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