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Interpretable Model Explanations in Decentralized Drug Discovery Systems

Ai Drug Repurposing

Federated Learning Drug Discovery Networks

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Ai Drug Repurposing › Federated Learning Drug Discovery Networks

Interpretable Model Explanations in Decentralized Drug Discovery Systems

This project investigates explanation methods for federated learning models that predict drug-disease interactions while maintaining local data privacy and regulatory compliance. The research yields transparent attribution techniques and visualization frameworks that allow clinicians and researchers to understand repurposing predictions without accessing raw patient or chemical data.

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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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