BioMCP: Biomedical Model Context Protocol
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Updated
Jan 31, 2026 - Python
BioMCP: Biomedical Model Context Protocol
Automatic synthesis of RCTs
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
Python package that wraps around the ClinicalTrials.gov API
Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries, MCP server and FHIR import.
An information extraction system for free-text eligibility criteria
A powerful Unix-inspired command-line tool for searching scientific literature, built for terminal enthusiasts who prefer speed, automation, and minimal interfaces.
TrialMatchAI aims to leverage large language models (LLMs) to streamline patient matching with clinical trials based on unique patient characteristics and eligibility criteria
ClinTrialFinder - AI-powered clinical trial discovery and ranking tool Find the most relevant clinical trials with GPT-4.1-mini filtering, Perplexity AI evidence analysis, and AI-powered ranking. Try via email: ai@mail.clintrialfinder.info - send clinical summary for trial matching. Perfect for researchers and medical professionals.
Open Source Clinical Content Analysis and Management System
Deploy a Django app as a client on a laptop that is offline and securely sync the data with your server when you get back online.
Lightweight RTF composer for Python. Specializes in precise formatting of production-quality tables and figures.
Open-source statistical package in Python based on Pandas
A simple python package to search for clinical trials on EUDRACT.
Parsers for clinical trials data from clinicaltrials.gov
A clinical BERT-based NLP tool for parsing clinical trial abstracts following the PICO framework
A visualization and analytics platform for clinicaltrials.gov data that enables researcher to interpret the data in a convenient way.
[JBI] Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking
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