FAERS Adverse Reaction Events database and OpenFDA API
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Updated
Feb 19, 2020 - HTML
FAERS Adverse Reaction Events database and OpenFDA API
LLM agent to generate workflow UML diagrams
A production-grade, AI-native Model Context Protocol (MCP) server providing LLMs with comprehensive, intent-driven access to the entire openFDA API Ecosystem.
Unified Python SDK for OpenFDA, PubMed, and ClinicalTrials.gov with clinical intelligence, interaction detection, and research tools.
An R package for the openFDA API (https://open.fda.gov/apis)
OpenFDA BigData Pipeline enables collection, processing, and real-time presentation of data - on adverse drug events from the openFDA database
R package to access openFDA API (https://open.fda.gov/apis)
Node.js/Express backend for SymptomPulse. Manages symptom/medication data, integrates Open FDA API, and handles JWT authentication. Built with TypeScript, MySQL, and Prisma ORM for robust data modeling.
Rank aggregated signal detection for VAERS data
openFDA API usage within VBA framework
OpenFDA JSON-LD @contexts https://westurner.org/openfda-jsonld-testing/
PULSE is a comprehensive public health analytics platform that aggregates, visualizes, and analyzes data from multiple authoritative health data sources — including disease.sh (COVID-19 global statistics), OpenFDA (adverse drug events), and CDC NWSS (wastewater surveillance). Built with React and Recharts, PULSE provides real-time dashboards🦠🏥🩺.
Strategic analytics and competition prediction platform for pharmaceutical markets using OpenFDA data and Machine Learning (XGBoost/RandomForest).
Open-source pharmacovigilance engine for FDA adverse event signal detection. Provides validated statistical primitives (PRR, ROR, IC), MedDRA mapping, and reproducibility tools for drug safety research.
Real-time drug safety intelligence API. Hybrid RAG combining live openFDA adverse events, PubMed literature, and a FAISS biomedical knowledge base — synthesized by Llama 3.3-70B via Groq.
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