About
Preclinical Database
Database Overview
The Preclinical Database is an AI-powered repository of in vivo preclinical animal studies from published and full-text research articles in PubMed Central. Our mission is to unlock large-scale preclinical evidence and accelerate the translation of preclinical research into clinical trials in drug development. Each preclinical study comprises disease, drug, and animal entities extracted and standardized to support interoperability with existing biomedical databases and ontologies.
Methodology
Filter documents & confidence scoring
Screened peer-reviewed publications using keywords, and assigned in vivo preclinical study confidence scores with Llama 3.3 70B.
Entity extraction
Extracted disease, drug, and animal entities using Mistral models from publications with confidence scores > 0.9.
Entity standardization
Linked extracted entities to corresponding concepts in external biomedical databases/ontologies, and filtered mappings by ontology-defined semantic types to improve compatibility and reliability.