sdtm

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

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

Config-driven clinical trial ETL pipeline: Excel mapping → CDISC SDTM datasets + M5 regulatory submission package

Automated generation of CDISC SDTM mapping specifications from REDCap field annotations, including CRF variable mapping, codelist management, REDCap choice alternatives, and similarity-based mapping between SDTM Submission Values and REDCap terms.

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

MCP server for querying SDTM annotations from annotated CRF PDFs

ETL pipeline to map clinical trial data from the CDISC standard (SDTM/ADaM) to the OMOP Common Data Model (CDM), enabling the integration of clinical research with Real-World Evidence (RWE).

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

Transforms IDDO customised SDTM domains into analysis datasets

Turn CDISC SDTM PDFs into an AI-ready searchable knowledge base — 293 structured Markdown files, 63 domains, 37,939 terminology terms

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

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.

Use R to get R — translate SAS to R with a coordinated multi-agent workflow, built for clinical programming

R-packaage: Row-level data provenance and exclusion tracking.

Clinical SAS programming portfolio using CDISC Pilot data: SDTM, ADaM-style datasets, TFLs, and QC validation.

A hands-on CDISC clinical programming course in SAS — raw CRF data to SDTM domains to ADaM analysis datasets to submission tables. 15 days, two synthetic studies, every program verified on SAS OnDemand.