Local Deep Research is an AI-powered assistant that transforms complex questions into comprehensive, cited reports by conducting iterative analysis using any LLM across diverse knowledge sources including academic databases, scientific repositories, web content, and private document collections.

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

Tools to scrape publications & their metadata from pubmed, arxiv, medrxiv, biorxiv and chemrxiv.

Findpapers: A tool for helping researchers who are looking for related works

NLP framework in python for entity recognition and relationship extraction

BioMCP: Biomedical Model Context Protocol

Retrieve PubMed articles, text-mining annotations, or molecular data from >35 Entrez databases via easy to use Python package - built on top of Entrez E-utilities API.

An agentic AI application that allows you to chat with your papers and gather also information from papers on ArXiv and on PubMed

Retrieve and process PubTator annotations

Scientific literature explorer. Runs a Pubmed or Semantic Scholar search and allows user to explore high-level structure of result papers

A framework for keeping biomedical text mining result up-to-date

A Python mini-tool for downloading free PubMed pdf 一个批量下载pubmed免费文献的python小工具

A Python package to download full article PDFs from OA publications

PubMed scraper for async search on a list of keywords and concurrent extraction of all found URLs, returning a DataFrame/CSV containing all article data (title, abstract, authors, affiliations, etc)

A web scrapping method to extract journal information from PubMed and Google Scholar using Python.

Data Collection API for pubmed

Python library for the Tychos API. The data transformation layer for AI.

Enhance your knowledge in medical research with the help of LLM and RAG.

Fetches PubMed article IDs (PMIDs) from email inbox, then crawls PubMed, Google Scholar and Sci-Hub for respective PDF files.

Turbocharge a PubMed literature search rather than clicking and clicking and clicking on Google Scholar