Michael A. Bada

The paper uses a knowledge graph to hypothesize mechanistic links between microbes and disease by analyzing relationships between microbes, genes, and metabolites.

The paper introduces an ignorance-base, a knowledge base of known unknowns in prenatal nutrition literature, to identify new research avenues by analyzing ignorance statements and biomedical concepts.

This paper explores sequence-to-sequence machine translation for concept recognition in biomedical text, achieving state-of-the-art results on the CRAFT Corpus with lower computational demands.

The paper improves biomedical concept recognition using deep neural sequence models, achieving higher F1 scores for ontology concept identification in scientific texts.