You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Feb 25, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Miyo Yoshida1, Tomoaki Murakami1, Kenji Ishihara1
1Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
This study used AI to build a knowledge graph from DMI literature, identifying novel concepts like Disorganization of MIddle retinal Layers (DMIL) and degenerative DMI. These findings were validated in patient data, showing significant impacts on visual acuity.
07:35A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
05:14Author Spotlight: Overcoming Anti-VEGF Resistance Through Advanced Vascular Morphology Assessment in Choroidal Neovascularization
Published on: August 11, 2023
Area of Science:
Background:
Purpose of the Study:
Main Methods:
Main Results:
Conclusions: