Collection of functions to work with the MEDDRA.org api to code and classify adverse events in clinical trials.

Medical Term Dictionary built from MedDRA

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

This repository contain all the file necessary to download, compute and statistically validate the pairwise interaction between Drug side effects and Drug Targets

AI-powered adverse event monitoring platform for clinical trials | 药物临床试验不良事件智能监测平台

A systematic way to convert verbatim medical terms with the proposed encoder/decoder+attention block solution. (python, TensorFlow)

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.

Runs PRR + ROR + chi-square disproportionality + MedDRA auto-coding for pharmacovigilance signal detection.

Automated pipeline for extracting drug safety information from FDA Structured Product Labels (SPL) using NLP and MedDRA mapping for pharmacovigilance research.

Excel dashboard simulating PV case query management and MedDRA coding analytics.

Post-marketing pharmacovigilance analysis of Semaglutide using FDA FAERS data

Medical terminology MCP server — ICD-10, MedDRA, RxNorm, CTCAE for AI agents

MedDRA (Medical Dictionary for Regulatory Activities) is a clinically validated international medical terminology dictionary used by regulatory authorities and the regulated biopharmaceutical industry.