clinicaltrials-database

What problem does it solve?

Manually searching ClinicalTrials.gov for specific studies is a time-consuming and complex process, often leading to missed relevant data. This Skill automates programmatic access to the ClinicalTrials.gov API v2, providing precise, up-to-date trial information and streamlining clinical research and patient matching.

Core Features & Use Cases

• Advanced Search Capabilities: Filter trials by condition, intervention, drug, location, sponsor, recruitment status, and phase with powerful query parameters.
• Detailed Trial Retrieval: Get comprehensive information for any trial, including eligibility criteria, outcomes, contacts, and locations, using its NCT ID.
• Bulk Data Export: Download search results in JSON or CSV format, ready for further analysis in spreadsheets or data science tools.
• Use Case: A researcher needs to find all recruiting Phase 3 trials for "breast cancer" in "California" that started in the last year. This skill can execute the complex query, handle pagination, and export the results into a CSV file in minutes, saving hours of manual effort.

Quick Start

To search for recruiting diabetes trials: from scripts.query_clinicaltrials import search_studies results = search_studies(condition="type 2 diabetes", status="RECRUITING", page_size=10) print(f"Found {results['totalCount']} trials")