aiBACKGROUND
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Groun
BACKGROUND
1 SIGNALFIRST DETECTED 24 April 2026
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How the story developed
24 Apr
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization
REPORT · WHAT · ArXiv CS.AI
5.7
Other feeds and industry voices
1 May
OptimusKG: Unifying biomedical knowledge in a modern multimodal graph
arXiv:2604.27269v1 Announce Type: new Abstract: Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and
REPORT · HOW · ArXiv CS.AIOPEN STORY
22 May
GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation
arXiv:2605.20188v1 Announce Type: cross Abstract: Recommending safe and effective medication combinations from electronic health records (EHRs) is a core clinical AI problem, yet
REPORT · WHAT · ArXiv CS.AIOPEN STORY
27 Apr
Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching
arXiv:2604.22061v1 Announce Type: cross Abstract: Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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