A Model Context Protocol (MCP) server enabling AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed via NCBI E-utilities. Includes a research agent scaffold. STDIO & HTTP
It is an automated system that summarizes medical research papers into concise, informative videos. The system fetches papers from PubMed, processes them, and creates professional videos with narration that are automatically uploaded to YouTube
A Python program to fetch research papers from PubMed with non-academic authors from pharmaceutical or biotech companies.
An AI-powered tool that analyzes NCBI scientific literature to provide summarized insights on genes, SNPs, and supplements.
A Node.js tool for extracting and analyzing author information from PubMed articles. Features include publication filtering, author affiliation tracking, and CSV report generation. Perfect for researchers and bibliometric analysis.
ETL Pipeline Applying NER and RE to PubMed Cancer Articles, Normalizing Entities via UMLS API, and Representing the Extracted Data as A Graph Database.
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