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An Alternative Safety Profiling Algorithm (ASPA) to transform next generation risk assessment into a structured and

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Summary
This summary is machine-generated.

Next generation risk assessment (NGRA) uses animal-free new approach methodologies (NAMs) for chemical safety. The Alternative Safety Profiling Algorithm (ASPA) provides a standardized, reproducible workflow for integrating NAM data into risk assessments.

Keywords:
NAMNGRAdata integrationexposurehazardrisk assessmenttoxicokinetics

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Area of Science:

  • Toxicology and Chemical Safety
  • Computational Toxicology
  • Regulatory Science

Background:

  • Next generation risk assessment (NGRA) relies on animal-free new approach methodologies (NAMs) for hazard, toxicokinetics (ADME), and exposure data.
  • Current NGRA data collection, integration, and reporting processes lack standardization, hindering reproducibility and transparency.
  • Standardization is crucial for consistent decision-making in chemical risk assessment and classification.

Purpose of the Study:

  • To introduce the Alternative Safety Profiling Algorithm (ASPA), a transparent and reproducible workflow for NGRA.
  • To enable the integration and documentation of diverse data types required for NGRA.
  • To ensure traceability and reproducibility of safety assessments for regulatory purposes.

Main Methods:

  • ASPA formalizes data gathering, integration, and reporting for NGRA.
  • The workflow emphasizes transparency by documenting all steps, decisions, and justifications.
  • ASPA incorporates monitoring and assessment of uncertainties and data interdependencies.
  • The associated ASPA-assist software guides users through a standardized reporting process.

Main Results:

  • ASPA provides a traceable and reproducible workflow for chemical safety assessments.
  • The ASPA-assist software facilitates the assembly of comprehensive reports detailing data, methods, and decisions.
  • Case studies demonstrate the applicability of ASPA across various regulatory contexts and problem formulations.

Conclusions:

  • ASPA enhances the standardization and reproducibility of NGRA.
  • The algorithm ensures that identical data inputs lead to consistent outcomes among independent assessors.
  • ASPA and its supporting software improve the transparency and reliability of chemical risk assessment processes.