Large-Scale Meta-Analysis of Nanomaterials Toxicity Based on Natural Language Processing of Scientific Articles.

ABSTRACT: Natural language processing (NLP) pipelines can mine the nanotoxicology literature at a scale and resolution that cannot be achieved by manual curation. Here, we established a NLP pipeline that coupled topic modeling and end point-specific extraction LLM prompts to convert ∼10⁶ sentences extracted from abstracts of scientific articles into a structured knowledge base containing 13 nanotoxicology features. The pipeline is capable of analyzing and extracting nanomaterial descriptors such as size, ζ potential, and surface area, along with biological end points such as minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC) and lethal concentration 50% (LC₅₀). Statistical convergence across multiple quantitative end points - MIC, MBC, microbial lo

SUBMITTER: Paula AJ 

PROVIDER: S-EPMC12797190 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature