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Graph Neural Networks for Adverse Drug Interaction Prediction

Ai Drug Repurposing

Deep Learning for Drug Side Effect Repurposing

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Ai Drug Repurposing › Deep Learning for Drug Side Effect Repurposing

Graph Neural Networks for Adverse Drug Interaction Prediction

This research investigates how graph neural networks can model complex protein-drug-disease interaction networks to predict previously unknown adverse effects. The work generates predictive models that identify potential side effects before clinical trials, accelerating drug repurposing timelines.

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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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