Corpus-wide causality: Algorithm design & application for aggregating gene-disease causal evidence (opens in new tab)

Identifying causal relationships, rather than mere associations, is essential for applications such as finding genes driving diseases and guiding drug discovery towards disease mechanisms rather than symptom management. Although many studies extract biomedical relations from large literature corpora such as PubMed, fewer focus on causal relations from abstracts, and fewer still summarize corpus-level evidence for causal links. LLMs (Large Language Models) are increasingly used for biomedical ...