R interface for FDA Adverse Event Reporting System

AdEPro (Animation of Adverse Event Profiles) is a Shiny application for the (audio-)visualization of adverse events during clinical trials

Population-scale patient safety data reveal inequalities in adverse events before and during COVID-19 pandemic

The DetectoR R Shiny app provides a handy platform allowing for early identification of signals and an ongoing monitoring of safety along the medical product development phase and lifecycle.

Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.

The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.

IEEE BIBM 2021: Bayesian optimization-guided topic modeling for automatic detection of sepsis-related events from free text

OAE: Ontology of Adverse Events

Drug Side Effect Checker - The Pharmacovigilance Dashboard Prototype build with FDA (FAERS) data

A robust tool for loading MedDRA files into a database with batch processing support.

MAUDEMetrics: Open-source no-code desktop app (macOS, Windows) and Docker service for automated extraction and standardization of FDA MAUDE medical device adverse event data via the openFDA API. Bypasses the 26,000-record limit and produces reproducible, analysis-ready datasets — no programming required.

OVAE is the Ontology of Vaccine Adverse Events

Risk Prediction of COVID-19 Vaccine Adverse Event by using Bayesian Network

Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP.

Safety and Efficacy Figures based on ADaM datasets using SAS version 9.4

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.

Author: Cong Zhu. Purpose: code for paper "Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA."

Reportable clinic events, reference ranges, grading

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🦠🏥🩺.

Operator surface for adverse-event queue, signal-detection clusters, regulator-reporting deadlines (FDA MedWatch 15-day / EU MDR vigilance / PMDA), and causality-assessment workflow. Browser-only, no telemetry. AGPL-3.0.