Ai Drug Repurposing › Deep Learning for Drug Side Effect Repurposing
Attention Mechanisms for Biomarker-Stratified Pharmacogenomic Response Prediction
This research uses attention-weighted deep learning to identify which genetic and molecular biomarkers drive personalized drug side effect profiles. The work generates patient-stratified repurposing candidates that maximize efficacy while minimizing adverse event burden in specific populations.
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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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