Introduction/Objectives: Fosfomycin is a potential component of empiric antimicrobial treatment where resistance to ampicillin or cefotaxime/gentamicin (SOC) is high1. Fosfomycin…
Read moreOral: Clinical Applications
These abstracts are expected to deal with applications of pharmacometrics whose aim is to improve individual patient treatment. They may include studies that have identified covariates that can be applied to calculate the dose, or even better, if the application was able to take patient response (concentration, biomarker) and further improve the individual dose. They can include simulation studies that explore how to improve patient treatment by dose individualization. The abstract must indicate an algorithm demonstrating how an individual patient dose is calculated.
Development of a neonatal plasma and cerebrospinal fluid (CSF) population PK model for fosfomycin.
Objectives: Fosfomycin is a potential component of empiric antimicrobial treatment where resistance to ampicillin or cefotaxime/gentamicin (SOC) is high1. Fosfomycin…
Read moreThe broad use of pharmacometrics in patient care: the case of blood transfusion and perioperative management
Introduction: Despite millions of surgical procedures are performed every year1, multiple areas of perioperative management lack quantitative tools to guide…
Read moreA hybrid machine learning/pharmacokinetic approach improves predictive performance in model-informed precision dosing
Objectives: Model-informed precision dosing (MIPD) typically leverages empirical Bayes estimates of pharmacokinetic (PK) parameters, allowing for individualization of treatment at…
Read moreBoosting model-informed precision dosing with machine learning: a case study
Background: Model-informed precision dosing (MIPD) promises to improve drug efficacy and reduce toxicity by tailoring drug regimens for individual patients…
Read moreA user-friendly ‘full-R’ bayesian tool for dose adaptation of oral anticancer drugs
Introduction / Objectives: Therapeutic drug monitoring consists in measuring the concentration of a drug in plasma, and to adapt the…
Read moreAssessment of a model to correlate early tumor size response to overall survival in relapsed or refractory diffuse large B cell lymphoma patients
Objectives: To use tumor size metrics measured during treatment to predict overall survival (OS) in patients with relapsed or refractory…
Read moreEstablishing a link between neutrophil dynamics and patient survival to perform individual dosing optimisation of chemotherapy
Objectives: For most of chemotherapies, patients will receive the same dose/m2 on the 1st cycle. However, the interindividual variability in…
Read moreSemi-mechanistic modeling of tumor size and overall survival including machine learning-derived tumor heterogeneity
Objectives: Total tumor size (TS), expressed as the sum of longest diameters (SLD) of the individual tumor lesions (iTLs), is…
Read moreA semi-physiological framework to predict changes in pharmacokinetics of cytotoxic drugs in pregnant women
Objectives: Physiological changes during pregnancy might have an influence on pharmacokinetics (PK) and hence on the efficacy and toxicity of…
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