AI Tools for Community
Select a specialized agent to assist with your clinical programming workflow.
Important: Independent Validation Required
All content generated by AI tools on this platform should be validated independently before using in real clinical projects. AI-generated code, specifications, and documentation may contain errors, hallucinations, or logic gaps. Always review outputs against your study protocol, SAP, and company SOPs before incorporating into production environments.
Code & Prompt Studio
The original toolkit. Build detailed LLM prompts, generate SAS/Python code, or convert legacy code between languages.
Automated Specs Creator
Reverse engineer your code. Paste a derivation script (SAS/Python) and get a formatted Define.xml style mapping specification.
Logic Explainer
Get professional documentation of complex macros or scripts. Focuses on business logic and data flow, not syntax.
Raw Dataset Generator
Upload eCRF specs (Excel) and generate linked SAS raw datasets with 5 subject scenarios — screen failure, ongoing, completed, discontinued, and follow-up.
TS Domain Generator
Generate a complete CDISC Trial Summary (TS) domain. Enter core study parameters, AI expands to 30-40 rows with QC verification, then download as Excel.
Spec-to-Code Generator
Upload your SDTM or ADaM mapping specification (Excel) and generate a complete derivation program in SAS, R, Python, or SQL. Specs are chunked by target dataset and processed by AI.
Best Papers AI
Explore PHUSE and PharmaSUG best papers. Select papers, ask GPT-4.1 mini for summaries and comparisons, and turn award-winning ideas into practical clinical-programming experiments.
Regulatory Chatbot
Open the Regulatory page's AI assistant for questions about FDA submission guidance, CDISC standards, ICH guidelines, and study data requirements.
ARS-CORE Workbench
Dedicated pilot workspace for mock-shell design, ADaM metadata, cross-spec validation, future AI code generation, execution, CORE validation, and final packaging.
Synthetic Data Generator
Dedicated workbench for importing an eCRF spec, deterministically generating 5 subjects (one per disposition status) as raw datasets, mapping raw to SDTM, and gating every pass through a clinical-trial golden-rule engine.
How to Use Each Tool
Guidelines and expectations for best results
Code & Prompt Studio
What to Expect
- Generate production-ready SAS, Python, or R code for SDTM, ADaM, and TLF domains
- Convert code between languages (e.g., SAS ↔ Python) while preserving clinical logic
- Build structured prompts for clinical programming tasks
How to Use
Select a mode (Generate, Convert, or Prompt Builder), choose your language and domain, describe your task clearly, and submit. The more specific your prompt, the better the output.
Automated Specs Creator
What to Expect
- Generates a Define.xml-style mapping specification table from your code
- Identifies variable names, labels, types, lengths, origins, and derivation logic
- Best suited for well-structured derivation programs
How to Use
Paste your SAS or Python derivation code into the input box and submit. The tool will analyze the code and produce an HTML specification table that you can copy into your documentation.
Logic Explainer
What to Expect
- Produces a header summary of overall objective and data flow
- Adds inline comments explaining business logic and derivation rules
- Focuses on 'why' (clinical context) rather than 'what' (syntax)
How to Use
Paste any clinical programming code (macros, derivations, etc.) and submit. The output is the original code annotated with professional inline comments. All output is valid runnable code.
Raw Dataset Generator
What to Expect
- Generates complete SAS DATA steps for each CRF page in your uploaded eCRF specification
- Creates 5 linked subjects with clinically realistic scenarios (screen failure, ongoing, completed, discontinued, follow-up)
- Uses exact variable names, labels, and types from your spec
How to Use
Upload your eCRF specification Excel file, provide a study name, and submit. The tool reads all sheets/pages and generates SAS code with proper LENGTH, LABEL, and FORMAT statements. Best used for generating test data during study start-up.
TS Domain Generator
What to Expect
- Generates 30-40 TS parameter rows from your core study inputs
- AI infers standard parameters (INTMODEL, STYPE, TTYPE, NARMS, etc.) from study context
- QC agent verifies all TSPARMCD values against CDISC Controlled Terminology
- Editable table lets you review, modify, add, or delete rows before export
How to Use
Fill in the core study fields (Study ID, Drug, Phase are required). Optionally add dictionary versions. Click Generate — the AI creates the full TS dataset. Review the editable table, make corrections, then download as .xlsx.
Spec-to-Code Generator
What to Expect
- Reads your mapping specification Excel file with columns: Source, Target, Variable, Label, Type, Length, Logic
- Chunks spec rows by target dataset and sends them to GPT-4o-mini for code generation
- Generates a single consolidated program in your choice of SAS, R, Python, or SQL
- Implements every variable derivation listed in your spec with proper comments
How to Use
Select SDTM or ADaM, choose your output language, upload your spec Excel file (download the sample template if needed), select sheets, and click Generate. The tool produces a complete derivation program you can copy or download.