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Updated: Aug 22, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
An information extraction and representation system for rapid review of the biomedical literature
Debra Revere1, Sherrilynne Fuller, Paul F Bugni
1Telemakus Research Program, Division of Biomedical & Health Informatics, University of Washington, Seattle, WA 98195-7155, USA. drevere@u.washington.edu
Abstract:
With the rapid expansion of scientific research, the ability to effectively find or integrate new domain knowledge in the sciences is proving increasingly difficult. The development of methods and tools for assisting researchers to effectively ex-tract problem-oriented knowledge from heterogeneous and massive information sources, and for using this knowledge in problem-solving is one of the most fundamental research directions for the information and computer sciences today. There is a need for new tools to support more precise identification of relevant research articles and provide visual clues regarding relationships among the document sets. We present the Telemakus system in which aggregated citation information and extracted research findings are displayed in a schema-based document surrogate and an interactive mapping tool provides graphical displays of research inter-relationships from documents across a domain. This system is an innovative approach to creating useful and precise document surrogates and may re-conceptualize the way we currently represent, retrieve, and assimilate research findings from the published literature.
