Abstract
Biomedical research emphasizes the reproducibility of scientific research by independent researchers, as the results have direct effects on human health. The increasing complexity of modern research, along with inadequate documentation, equipment and resource limitations, and environmental variability, has contributed to a “reproducibility crisis”. NexusGraph offers an advanced Natural Language Processing (NLP) solution to this crisis. It synthesizes a comprehensive, accessible inventory of reagents, equipment, and other materials to allow for standardization to replicate studies. Furthermore, NexusGraph extracts additional elements, including author and material suppliers, along with synthesizing instructional guidance to increase reproducibility.
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