Mayla R. Boguslav

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 introduces a method to identify and classify ignorance statements in biomedical text, creating a gold standard corpus and classifiers with high F1 scores.

The paper introduces a method to simulate heterogeneous populations using Boolean networks, capturing rare cellular events without modeling individual cells.