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Synthetic Data Generation for Rare Disease Clinical Trial Optimization

Ai Drug Repurposing

AI Drug Repurposing for Rare Disease Research

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Ai Drug Repurposing › AI Drug Repurposing for Rare Disease Research

Synthetic Data Generation for Rare Disease Clinical Trial Optimization

Develops generative AI models to create synthetic patient cohorts representing underrepresented rare diseases for computational clinical trial design. This approach produces evidence-based drug repurposing candidates with optimized dosing and patient stratification strategies.

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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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