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Updated: Jan 26, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
The ecosystem of evidence cannot thrive without efficiency of knowledge generation, synthesis, and translation
Antonino Cartabellotta1, Julie K Tilson2
1GIMBE Foundation, Via Amendola 2, 40121 Bologna, Italy.
Abstract:
Evidence-based medicine (EBM) has experienced numerous advances since its inception over 2 decades ago. Yet a persistent gulf remains between how medicine is actually practiced and the goal of providing care based on best available research evidence integrated with patient perspective and clinical expertise. A primary source of challenge for EBM is induced by inefficiencies in the generation, synthesis, and translation of evidence. During the 8th International Conference for Evidence-based Healthcare Teachers and Developers, GIMBE Foundation presented an innovative approach by defining an ecosystem of evidence. Based on the features of a natural ecosystem, the ecosystem of evidence is influenced by living organisms: stakeholders replete with competition and collaboration among and between them, as well as their conflicts of interest; the environment: social, cultural, economic, and/or political contexts; and nonliving components: scientific evidence, influenced by the rules, standards, and frameworks associated with evidence generation, synthesis, and translation. This article provides an analysis of the strengths and weaknesses of this ecosystem with a focus on nonliving components, specifically evidence generation, synthesis, and translation. Specific suggestions are outlined for building a stable and resilient ecosystem of evidence.
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