⚠️ Educational & Research Resource Only: The predictive models and simulation apps hosted on this platform are intended strictly for educational, academic, and research exploration. They are not validated for live clinical decision-making.

Model-Informed Precision Dosing

BeeKay:

Model-Informed Precision Dosing for Anti-Infectives

BeeKay bridges pharmacometrics and clinical visualization — interactive applications that translate population PK/PD models into clear, actionable dosing insight for prescribers and pharmacometricians alike.

Explore Simulation Modules Learn more

Simulation Modules

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Each application supports both a priori dose selection and a posteriori dose adjustment based on measured concentrations.

Flucloxacillin Target Attainment

• Probability of target attainment across renal function and dosing regimens
• Population PK model with covariate-adjusted simulation
• Visual comparison of intermittent vs. extended infusion

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Vancomycin Exposure

• AUC/MIC-guided exposure simulation for individualized dosing
• Bayesian a posteriori adjustment from measured concentrations
• Continuous and intermittent infusion regimens supported

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Beta-Lactams

Cefazolin · Ceftazidime

• Time above MIC (fT>MIC) target attainment for both agents
• Renal function and body-weight covariate scaling
• Side-by-side dosing regimen comparison

Cefazolin ↗ Ceftazidime ↗

Anidulafungin Exposure

• AUC/MIC-guided exposure simulation for echinocandin therapy
• Population PK model across critically ill and ward populations
• Loading and maintenance dose regimen visualization

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Why BeeKay

Built for pharmacometric rigor

Interactive PK/PD Visualization

Explore concentration-time profiles and target attainment in real time, with immediate visual feedback as regimens and covariates change.

Tailored for Anti-Infectives

Population PK models purpose-built for beta-lactams, glycopeptides, and echinocandins, reflecting the exposure targets relevant to each drug class.

Open & Reproducible Workflows

Built in R/Shiny with transparent, inspectable models — supporting reproducible research.