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Biomedical Named Entity Recognition Using Contextualized Transformer Embeddings

Ai Drug Repurposing

Transformer Models Biomedical Text Mining

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Ai Drug Repurposing › Transformer Models Biomedical Text Mining

Biomedical Named Entity Recognition Using Contextualized Transformer Embeddings

This work advances entity recognition systems using contextual transformers to accurately identify drugs, proteins, genes, and phenotypes within complex biomedical texts. The research outputs specialized embedding models that improve downstream repurposing predictions by providing high-precision entity relationship annotations.

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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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