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From therapeutic drug monitoring to model‐informed precision dosing for antibiotics
Therapeutic drug monitoring (TDM) and model‐informed precision dosing (MIPD) have
evolved as important tools to inform rational dosing of antibiotics in individual patients with …
evolved as important tools to inform rational dosing of antibiotics in individual patients with …
Artificial intelligence and machine learning approaches to facilitate therapeutic drug management and model-informed precision dosing
EA Poweleit, AA Vinks, T Mizuno - Therapeutic drug monitoring, 2023 - journals.lww.com
Background: Therapeutic drug monitoring (TDM) and model-informed precision dosing
(MIPD) have greatly benefitted from computational and mathematical advances over the …
(MIPD) have greatly benefitted from computational and mathematical advances over the …
Clinical practice guidelines for therapeutic drug monitoring of vancomycin in the framework of model-informed precision dosing: a consensus review by the Japanese …
K Matsumoto, K Oda, K Shoji, Y Hanai, Y Takahashi… - Pharmaceutics, 2022 - mdpi.com
Background: To promote model-informed precision dosing (MIPD) for vancomycin (VCM),
we developed statements for therapeutic drug monitoring (TDM). Methods: Ten clinical …
we developed statements for therapeutic drug monitoring (TDM). Methods: Ten clinical …
[HTML][HTML] Model-informed precision dosing: State of the art and future perspectives
IK Minichmayr, E Dreesen, M Centanni, Z Wang… - Advanced drug delivery …, 2024 - Elsevier
Abstract Model-informed precision dosing (MIPD) stands as a significant development in
personalized medicine to tailor drug dosing to individual patient characteristics. MIPD moves …
personalized medicine to tailor drug dosing to individual patient characteristics. MIPD moves …
Bridging the worlds of pharmacometrics and machine learning
K Stankevičiūtė, JB Woillard, RW Peck… - Clinical …, 2023 - Springer
Precision medicine requires individualized modeling of disease and drug dynamics, with
machine learning-based computational techniques gaining increasing popularity. The …
machine learning-based computational techniques gaining increasing popularity. The …
A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors
Abstract Model‐informed precision dosing (MIPD) approaches typically apply maximum a
posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) …
posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) …
Precision oncology by point-of-care therapeutic drug monitoring and dosage adjustment of conventional cytotoxic chemotherapies: A perspective
Therapeutic drug monitoring (TDM) of conventional cytotoxic chemotherapies is strongly
supported yet poorly implemented in daily practice in hospitals. Analytical methods for the …
supported yet poorly implemented in daily practice in hospitals. Analytical methods for the …
Predictions of bedaquiline and pretomanid target attainment in lung lesions of tuberculosis patients using translational minimal physiologically based pharmacokinetic …
Background Site-of-action concentrations for bedaquiline and pretomanid from tuberculosis
patients are unavailable. The objective of this work was to predict bedaquiline and …
patients are unavailable. The objective of this work was to predict bedaquiline and …
Removing the physician from the equation: Patient‐controlled, home‐based therapeutic drug self‐monitoring of tacrolimus
M Hazenbroek, LHM Pengel… - British Journal of …, 2024 - Wiley Online Library
The dosing of tacrolimus, which forms the backbone of immunosuppressive therapy after
kidney transplantation, is complex. This is due to its variable pharmacokinetics (both …
kidney transplantation, is complex. This is due to its variable pharmacokinetics (both …
A continued learning approach for model‐informed precision dosing: updating models in clinical practice
Abstract Model‐informed precision dosing (MIPD) is a quantitative dosing framework that
combines prior knowledge on the drug‐disease‐patient system with patient data from …
combines prior knowledge on the drug‐disease‐patient system with patient data from …