PROcEED

PROcEED estimates distributions of external exposure concentrations or intake doses that are consistent with observed biomarker concentrations in human populations using probabilistic reverse dosimetry.

Key Features:

• Probabilistic Reverse Dosimetry: Employs pharmacokinetic models to convert measured biomarker concentrations—chemicals or their metabolites in human tissues or fluids—into distributions of plausible exposure concentrations.
• Population-Level Analysis: Processes distributions of biomarker measurements from a population to identify the most probable exposure concentrations or intake doses experienced by study participants.
• Uncertainty and Variability Quantification: Uses probabilistic methods to characterize and reduce model uncertainty and variability in exposure assessments.

Scientific Applications:

• Risk Assessment: Provides distributions of probable exposures to support more accurate population-level health risk assessments compared with single-point estimates.
• Regulatory Compliance and Policy Making: Supplies probabilistic exposure information to assist regulatory bodies in deriving safety standards and exposure guidance.
• Human Biomonitoring and Epidemiological Research: Enables incorporation of biomonitoring data into epidemiological studies to investigate associations between chemical exposures and health outcomes.

Methodology:

Integrates pharmacokinetic modeling with measured biomarker concentrations to estimate probabilistic distributions of exposure concentrations consistent with observed biomarker levels in a population.