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Updated: Dec 29, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Accessing biomedical literature in the current information landscape
Ritu Khare1, Robert Leaman, Zhiyong Lu
1National Center for Biotechnology Information, U.S. National Library of Medicine, NIH, Blg 38 A, Rm 1003B, 8600 Rockville Pike, Bethesda, MD, 20894, USA, ritu.khare@nih.gov.
Accessing biomedical literature is crucial for researchers and clinicians. This review covers current search tools, retrieval methods, and future trends like mobile access and open science for better literature discovery.
Area of Science:
- Biomedical and Life Sciences
- Information Science
Background:
- Biomedical literature is rapidly expanding and interdisciplinary.
- Effective access is vital for researchers, clinicians, and database curators.
- Numerous online search tools and archives exist, but challenges remain.
Purpose of the Study:
- To review the current state of biomedical literature access.
- To analyze common search tools and literature archives.
- To explore research solutions and future trends in literature access.
Main Methods:
- Analysis of frequently used search tools (PubMed, Google Scholar, Web of Science, Scopus, Embase).
- Study of biomedical literature archives (e.g., PubMed Central).
- Classification of research solutions into text mining, semantic search, relevance ranking, and clustering.
Main Results:
- Current practices involve searching citations, retrieving full text, and viewing articles.
- Research addresses challenges in query formulation and result interpretation.
- Key research areas include text/data mining, semantic search, and result clustering.
Conclusions:
- Future trends include mobile access and open access policies.
- Improving search result relevance and user experience is ongoing.
- Enhanced biomedical literature access will support scientific advancement.
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