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Multi-Modal Omics Integration via Graph Neural Networks

Ai Drug Repurposing

Machine Learning Omics-Driven Repurposing Studies

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Ai Drug Repurposing › Machine Learning Omics-Driven Repurposing Studies

Multi-Modal Omics Integration via Graph Neural Networks

This research develops graph-based deep learning architectures that integrate genomics, proteomics, and metabolomics data to identify drug repurposing candidates. The study yields systems-level insights into how drugs modulate biological networks and predict polypharmacology effects across multiple molecular layers.

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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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