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DREAM Project — Now in Beta

From messy data to
published paper.

Upload your clinical spreadsheet. Get a publication-ready manuscript with verified statistics, proper citations, and full provenance tracking. Hours, not months.

Start Your Paper → See It In Action
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Time Saved
100%
Stats Verified
200K+
Medical Concepts
✨
DRE Assistant
Your research co-pilot
Online
Analyze my cardiac surgery dataset and find mortality predictors
✨
I've analyzed your dataset with 847 patients. Here's what I found:
📊 Key Finding
30-day mortality: 3.2% (27 patients)
🎯 Top Predictors
Age ≥75 (OR 2.4) • Diabetes (OR 2.31) • Emergency (OR 3.8)
✓ Stats verified RUN-00234
Why Researchers Trust Us

Every statistic is verified. Every claim is traceable.

Unlike ChatGPT or other tools, we don't hallucinate. Every number in your paper links back to the exact computation that produced it.

✓
Verified Statistics
Click any number to see its source

Every statistic in your paper is computed from your actual data using deterministic code. Click any number to see the exact formula, dataset version, and computation trace.

100%
Traceable
0
Hallucinations
1-click
Audit Trail
Full
Reproducibility
✓
Every stat links to its source computation
✓
Dataset versioning built-in
✓
Re-run any analysis with one click
✓
Export full provenance for peer review
📚
Smart Citations
Relevant literature, automatically

As you write, we surface relevant papers from our medical knowledge base. See how your findings compare to existing literature, and add citations with one click.

200K+
Medical Papers
1M+
Concepts Mapped
Auto
Suggestions
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Citation Add
✓
Literature gaps highlighted automatically
✓
Compare your results to published data
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Proper citation formatting (AMA, APA, etc.)
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Export to EndNote, Zotero, Mendeley

"We compute the stats. You verify them. Reviewers trust them."

The Product

Your research workspace

Everything you need to go from raw data to publication-ready manuscript. Paper editor, data explorer, analysis config, and AI assistance — all in one place.

app.medtwin.ai
Pages
📄 Draft v3.2 Current
Workbenches
👥 Patient Profiles 847
📊 Data Explorer
🗺️ Data Mapping ✓
📈 Analysis Config
✓ Publication Ready 4 Stats Verified

Independent Predictors of 30-Day Mortality Following Cardiac Surgery

Research Team1,2 · Academic Medical Center · January 2026

Abstract

Background: Preoperative risk stratification in cardiac surgery guides shared decision-making. This study enrolled ✓ 847 consecutive adults undergoing cardiac surgery.

Results: Thirty-day mortality occurred in 27 patients ( ✓ 3.2% ). Five independent predictors were identified: age ≥75 years (OR 2.41 ), diabetes mellitus, LVEF <35%, preoperative BNP >900, and emergency surgery.

✨ Intelligence
Context Trace
Insight
Aortic procedures have highest mortality (6.2%), above cohort average.
Literature Gap
Smith 2024 reports 5.8% for aortic. Consider discussing in limitations.
Verified
4 inline statistics verified against RUN-00234.
🚀 Try the Live Product →

No signup required for demo • Full features available

How It Works

Four steps to publication

Upload your data and let DREAM handle the rest — with your approval at every step.

1
📤

Upload

Drop Excel, CSV, or REDCap export. We detect columns, types, and quality issues automatically.

⏱️ ~30 seconds
2
🗺️

Map

AI proposes column mappings to canonical schema. Review, approve, or adjust with one click.

⏱️ ~2 minutes
3
📊

Analyze

Configure analysis spec. Run deterministic statistical models with full provenance tracking.

⏱️ ~5 minutes
4
📝

Publish

Generate publication-ready drafts with inline stats, figures, and traced sources.

⏱️ ~3 minutes
The Team

Built by people who understand the problem

Clinical grounding. AI research depth. Security-first. Execution velocity.

Abhishek Sehgal

Abhishek Sehgal

Founder / Platform Lead

AI research + systems. Rule-based AI focus. Previous MedTech exit.

Dr Dhruva Angachekar

Dr Dhruva Angachekar

Clinical Founder / Surgeon

Cardiothoracic surgeon. Real research pain. Workflow validator.

Aditi Garg

Aditi Garg

Security / GRC

Cybersecurity + GRC. HIPAA compliance. Production hardening.

Johnny Kim, PhD

Johnny Kim, PhD

AI Researcher

Meta-cognition research. Failure-feedback systems. Memory mechanisms.

Vibhuti Rajpal

Vibhuti Rajpal

Product / Delivery

End-to-end shipping. Data + workflow clarity. Rapid iteration.

Why this team: Clinical grounding (surgeon who feels the pain) + AI research depth (not just engineering) + Security-first mindset + Execution velocity

Ready to accelerate your research?

Join the next frontier of medical research. Start free today.