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Knowledge Graph Embedding for Implicit Drug-Indication Relationships

Ai Drug Repurposing

AI Literature Mining for Repurposing Signals

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Ai Drug Repurposing › AI Literature Mining for Repurposing Signals

Knowledge Graph Embedding for Implicit Drug-Indication Relationships

This research develops knowledge graph embedding techniques to infer latent drug-indication associations by learning distributed representations from biomedical literature networks. The work discovers novel repurposing candidates by identifying missing links in heterogeneous networks connecting drugs, proteins, diseases, and phenotypic outcomes.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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