AI SDTM mapping (R for ML, Python, TensorFlow for DL)

Development repo for pilot3 submission to FDA - ADaM

A free, open-source desktop application for transforming clinical trial data into FDA-compliant CDISC SDTM formats (XPT, Dataset-XML, Define-XML).

De-identifying CDISC SDTM data by Phuse rules using SAS

A dashboard to visualize what datasets were used to create each of the clinical trial datasets

Unit conversion, verification with Unified Code for Units of Measure (Python)

Your Friendly Guide to Clinical Data Science with R in Open-Source

MCP server for querying SDTM annotations from annotated CRF PDFs

DXT-packaged MCP server for the CDISC Library (discovery, Biomedical Concepts, SDTM Dataset Specializations)

Code for the CDISC {admiral} hackathon, Feb 2023. The objective of this hackathon is to develop ADaM datasets in R using the ADaM in R Asset Library {admiral} and other Pharmaverse packages.

R scripts to process clinical trial data using the CDISC SDTM and ADaM standards. It automates the transformation of raw clinical data into structured SDTM datasets (e.g., DM, AE, VS domains) and analysis-ready ADaM datasets (ADSL, ADAE, ADVS). The project includes statistical summaries, descriptive analytics, and viz

Addressing the comment there are too few tools for the creation of a clinical trial schedule of activities to support the generation of USDM JSON

rCoreGage provides a high-speed framework for executing complex data checks across clinical domains. By automating the heavy lifting of DM/SDTM/ADaM/DM or any Data role issue tracking, it eliminates manual oversight and reduces data cleaning time. Engineered for large-scale trial data while maintaining strict adherence to data complaince

Transforms IDDO customised SDTM domains into analysis datasets

caAdapter provides model mapping, data mapping and transformation services among data sources like HL7 and Regulatory Data Sets.

DataForge Studio — Windows desktop toolbox for SDTM data processing: format conversion, data masking, cleaning, batch utilities

RAG-powered SAS→Python clinical data translator — HuggingFace + ChromaDB + Claude + Streamlit

End-to-end clinical data workflow in R: SDTM-inspired mapping (DM, AE), QC checks, and adverse event analysis with visualization.

Streamlit dashboard for clinical trial DMC data monitoring. Visualizes SDTM domains (DM, AE, LB) — enrollment metrics, adverse event safety overview, and laboratory data analysis.

This project demonstrates the conversion of SDTM (Study Data Tabulation Model) datasets into an ADaM ADSL (Subject-Level Analysis Dataset) using Python following ADaM specification and Control Terminology of CDISC