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Temporal Graph Neural Networks for Drug Response Evolution Tracking

Ai Drug Repurposing

Graph Neural Networks Drug Target Prediction

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Ai Drug Repurposing › Graph Neural Networks Drug Target Prediction

Temporal Graph Neural Networks for Drug Response Evolution Tracking

This research develops temporal graph neural networks that model dynamic changes in drug-target interactions, resistance mechanisms, and patient response trajectories over time. The study reveals time-dependent drug efficacy patterns and optimal repurposing windows for therapeutic intervention in disease progression.

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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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