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Analyzes FDA Adverse Event Reporting System (FAERS) data using NLP and deep learning to identify correlations between hormonal contraceptives and mental health risks.
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This is a niche research prototype or personal project with no community traction (0 stars/forks). While it addresses an important domain-specific problem (gender gaps in pharmacovigilance), it applies standard NLP techniques to public datasets without a novel technical moat or proprietary data advantage.
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