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Temporal Graph Convolutional Networks for Disease Progression Side Effect Tracking

Ai Drug Repurposing

Deep Learning for Drug Side Effect Repurposing

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Ai Drug Repurposing › Deep Learning for Drug Side Effect Repurposing

Temporal Graph Convolutional Networks for Disease Progression Side Effect Tracking

This research develops temporal graph convolutional networks to model how drug side effects evolve with disease progression trajectories across patient cohorts. The work generates insights into which adverse effects indicate successful disease pathway modulation, supporting identification of secondary indications.

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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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