MedTWIN Documentation
Transform clinical spreadsheets into publication-ready research—with full provenance tracking, verified statistics, and AI-assisted writing.
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:material-rocket-launch:{ .lg .middle } Get Started in 5 Minutes
Upload your data, map columns, run analysis, generate your paper.
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:material-table-arrow-right:{ .lg .middle } Data Mapping
AI-powered column mapping with confidence scores and validation.
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:material-chart-box:{ .lg .middle } Statistical Analysis
Logistic regression, Cox regression, linear models—all deterministic and reproducible.
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:material-file-document-edit:{ .lg .middle } Paper Editor
Block-based editor with inline statistics that link back to source data.
What MedTWIN Does
MedTWIN automates the tedious parts of clinical research while keeping you in control:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Upload │───▶│ Map │───▶│ Analyze │───▶│ Publish │
│ Spreadsheet │ │ Columns │ │ Data │ │ Paper │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
Excel/CSV AI suggestions Regression, Word, PDF,
+ validation survival, etc. LaTeX export
The Problem We Solve
| Traditional Workflow | With MedTWIN |
|---|---|
| Hours manually cleaning Excel columns | AI maps columns in seconds |
| Copy-paste statistics into Word | Statistics auto-update when data changes |
| "Where did this p-value come from?" | Click any stat → see source data + code |
| Weeks to generate tables | Tables generated instantly from analysis |
| Manual citation formatting | Smart citations with relevance scoring |
Core Features
1. Intelligent Data Mapping
Upload messy spreadsheets. MedTWIN's AI suggests how to map columns to standardized variables:
- Auto-detection: Patient IDs, dates, lab values, medications
- Confidence scores: High (green), Medium (yellow), Low (red)
- Validation: Required fields, data type checks, range validation
- Multi-sheet support: Excel workbooks with relationships
2. Deterministic Statistical Analysis
Every analysis is reproducible. Same input = same output. Always.
| Analysis Type | Use Case |
|---|---|
| Logistic Regression | Binary outcomes (mortality, readmission) |
| Cox Regression | Time-to-event (survival analysis) |
| Linear Regression | Continuous outcomes |
| Descriptive Statistics | Baseline characteristics tables |
3. Traceable Paper Generation
Generate manuscript sections that link every claim to its source:
- Abstract: Auto-summarized from your results
- Methods: Statistical methods with proper citations
- Results: Tables and figures with inline statistics
- Discussion: AI-drafted interpretations
Click any statistic → see the exact data and computation that produced it.
4. Patient Intelligence
For patient-level analysis:
- Patient Profiles: Timeline, labs, imaging, treatments
- Cohort Matching: Find similar patients
- Digital Twin: "What if" simulations
- Anomaly Detection: Flag medication conflicts, lab outliers
5. Literature Integration
- Search: PubMed, CrossRef integration
- Import: DOI, BibTeX, PMID
- Relevance Scoring: AI ranks papers by relevance to your research
- Smart Citations: Suggestions while you write
Compliance & Security
| Standard | Status |
|---|---|
| HIPAA | Compliant (BAA available) |
| 21 CFR Part 11 | Audit trail compliant |
| SOC 2 Type II | In progress |
| Encryption | AES-256 at rest, TLS 1.3 in transit |
Every action is logged. Full audit trail exportable for regulatory submission.
Quick Links
:material-book-open-variant: User Guides Step-by-step tutorials for every feature
:material-api: API Reference REST API for programmatic access
:material-shield-check: Security & HIPAA Compliance documentation
:material-help-circle: FAQ Common questions answered
Get Help
- Email: support@medtwin.ai
- Enterprise: enterprise@medtwin.ai
- Status: status.medtwin.ai