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Semantic Similarity Mining of Clinical Trial Adverse Events Databases

Ai Drug Repurposing

AI Literature Mining for Repurposing Signals

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Ai Drug Repurposing › AI Literature Mining for Repurposing Signals

Semantic Similarity Mining of Clinical Trial Adverse Events Databases

This research uses semantic embeddings to identify structurally unrelated drugs sharing unexpected adverse event profiles that suggest common molecular targets in literature and clinical databases. The work produces testable repurposing hypotheses by revealing hidden drug class relationships through shared toxicology patterns and mechanistic signatures.

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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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