PharmPrep
Data Preparation Tool
Automatically transform raw clinical data into pharmacometric (PK/PD) modeling-ready datasets, compatible with non-linear mixed-effects modeling (the gold standard for drug development). Powered by AI-driven data structure analysis and a natural language interface.
Key Features
AI-Driven Data Structure Analysis
Intelligent analysis of your clinical dataset structure, automatically identifying columns, data types, and required transformations for pharmacometric modeling.
Automated Format Conversion & Validation
Seamlessly converts datasets into the specific formats required by gold-standard modeling software with built-in validation to catch errors before they reach your modeling workflow.
Natural Language Interface
Describe custom handling instructions in plain English. The tool interprets your requirements and applies them to the data transformation pipeline.
Multi-Format Support
Accepts CSV, TXT, TSV, and common clinical data formats. Exports clean, validated, analysis-ready datasets for pharmacometric modeling.
See it in action
Upload a raw clinical export and PharmPrep's AI converts it into an analysis-ready NM-TRAN dataset — mapping columns, deriving EVID / MDV / CMT, and running structural checks — while an AI reviewer flags anything worth a second look. Here, a raw Theophylline file becomes a clean 12-subject, 120-observation dataset that passes every structural check.
How It Works
Upload Clinical Data
Import your raw clinical pharmacology dataset in any supported format.
AI Analysis & Mapping
PharmPrep analyzes data structure and automatically maps columns to standard formal model variables.
Validate & Review
Built-in validation flags issues. Use natural language to refine handling instructions.
Export Analysis-Ready Dataset
Download a fully formatted, validated dataset ready for pharmacometric modeling.
Try PharmPrep Now
Transform your clinical datasets into analysis-ready formats in minutes. Upload, convert, verify, and iterate -- all from your browser.
Launch PharmPrep