AI Clinical Trial Matcher

Multi-stage pipeline that matches patients to clinical trials using vector embeddings and LLMs. Ingests trial data, processes patient records, and ranks matches via semantic similarity.

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A multi-stage pipeline that processes clinical trial data and patient records through vector embeddings, then uses semantic similarity to rank the most relevant trials for each patient. Built with LLaMA for natural language understanding, ChromaDB for vector storage, and LangChain for orchestrating the matching pipeline.

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