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Natural Language Processing for Hidden Drug-Disease Associations

Ai Drug Repurposing

AI Literature Mining for Repurposing Signals

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Ai Drug Repurposing › AI Literature Mining for Repurposing Signals

Natural Language Processing for Hidden Drug-Disease Associations

This research investigates how advanced NLP models can extract latent connections between drugs and diseases from unstructured biomedical literature that traditional databases miss. The work produces novel repurposing hypotheses by identifying semantic relationships in scientific abstracts, case reports, and clinical notes that reveal unexpected therapeutic potentials.

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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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