faers

R interface for FDA Adverse Event Reporting System

Co-occurrence analysis in pubmed and faers of two lists of terms.

OpenSource FAERS Database Cleansing, Merging and Analysis using postgresql

Code and Datasets for the paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports", published on BMC Medical Informatics and Decision Making in 2019.

FAERS database in R

Code and Datasets for the paper "A Computational Framework for Identifying Age Risks in Drug-Adverse Event Pairs", published on AMIA 2022 Informatics Summit.

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

Intelligent Pharmacovigilance Signal Triage Orchestrator fusing openFDA/FAERS disproportionality, ChEMBL mechanisms, and PubMed literature. Features deterministic multi-source confidence gating, strict/lenient dual-metric evaluation, and an interactive zero-API Streamlit dashboard.

教學用 FAERS ADR 嫌疑藥排序工具：反向查詢 + ROR/PRR 不相稱性 + 時序加權 + Naranjo/WHO-UMC 因果評分。非臨床決策工具。

MCP server for FDA data: drug approvals, recalls, adverse events, 510(k) device clearances. Wraps openFDA.

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.

Automated pharmacovigilance literature validation for ultra‑rare neurological diseases. Enter a drug name and an adverse event. The app searches PubMed with a multi‑tier cascade, extracts the most relevant evidence, and returns a verdict — Present or Absent — backed by a fine‑tuned PubMedBERT model.

Step1-Step6 preprocessing workflow and final FAERS compound-PT-SOC core graph releases with standardized compounds, MedDRA PT/SOC mapping, and three pruned graph versions.

End-to-end pharmacovigilance signal detection on 756K FDA adverse event reports. PostgreSQL pipeline comparing three disproportionality metrics, validated against the OMOP reference set (IC025 AUC 0.812). Tableau Public dashboard.

End-to-end pharmacovigilance ML pipeline for predicting adverse drug reactions in previously unseen drugs using FAERS data and molecular features.

Honest evaluation of emergent 3-drug interaction prediction from FAERS using GNNs

Exploratory pharmacovigilance analysis of FDA FAERS data using SQL, DuckDB, pandas, NumPy, and Matplotlib.

Public reproducibility package for OAB–AF analyses using FAERS/JADER (figures, scripts, derived inputs).

Source-only toolkit for evaluating whether automated adverse-event coders preserve downstream pharmacovigilance signal decisions.

Post-marketing pharmacovigilance analysis of Semaglutide using FDA FAERS data