Martin Paparella

A Data-Driven Approach for the Development of a Time-informed Adverse Outcome Pathway-network for Cardiotoxicity of Environmental Chemicals

This paper develops a time-informed Adverse Outcome Pathway (AOP) network for environmental chemical-induced cardiotoxicity using data-driven methods and identifies key processes linking perturbations to cardiac injury.

Integrating Semantic Retrieval, LLM-based Refinement, and Structured Expert Curation for Scalable AOP Gene Mapping

The paper presents an AI workflow for mapping Key Events to genes in Adverse Outcome Pathways, improving accuracy and reducing manual effort through semantic retrieval, LLM refinement, and expert curation.

Variability and uncertainty of data from genotoxicity Test Guidelines: What we know and why it matters.

This review analyzes variability and uncertainty in genotoxicity test guideline data, highlighting challenges in integrating non-animal methods into regulatory frameworks.

Daphnids Can Safeguard the Use of Alternative Bioassays to the Acute Fish Toxicity Test: A Focus on Neurotoxicity

This study evaluates the sensitivity of daphnids compared to fish for neurotoxic chemicals, finding daphnids often more sensitive and suggesting their use as an alternative to fish toxicity tests.