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
Project designed to extract and structure clinical trial data using PubMed APIs and OpenAI models. It allows users to search for trials based on keywords, fetch details, and process them into structured formats like CSV, enhancing extraction with OpenAI's models.
Screens reference lists of scholarly articles for retractions, corrections, and expressions of concern using OpenAlex, Crossref, and Retraction Watch.
Automated biomedical information retrieval system for polyphenol literature. Benchmarks lexical methods (TF-IDF) against semantic models (BioBERT, Fine-tuned BERT) using data fetched via NCBI API.
A Python program to fetch research papers from PubMed with non-academic authors from pharmaceutical or biotech companies.
Plataforma web orientada a asistir la ejecución completa de una Revisión Sistemática de Literatura (RSL) mediante un flujo guiado por fases, gestión de proyectos y soporte de inteligencia artificial.
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.
A full-stack application for exploring PubMed research articles with ETL pipeline, PostgreSQL storage, and Streamlit UI.
LeukemiaLens is a research aggregation and filtering tool for leukemia-specific queries for scholarly articles from PubMed that have been enriched with relevant metadata
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