# Clinical Trial Scan (CT Scan)

Clinical Trial Scan is a clinical trial patient recruitment and enrollment
intelligence company. Its platform, DYNO Ai 2.0™, applies Predictive
Enrollment Engineering™ to forecast recruitment cost, eligibility, and
enrollment timelines for a study before that study begins.

Canonical page: <https://dyno.clinicaltrialscan.ai/>

## What the company does

- Reads a clinical trial protocol (an uploaded document or a ClinicalTrials.gov
  NCT record) and extracts the inclusion and exclusion criteria, eligible age
  range, indication, and phase.
- Estimates the addressable patient population for the selected geographies
  using US Census demographics at metro, state, or national level combined with
  indication prevalence.
- Models a seven-stage recruitment funnel to predict cost per lead, cost per
  enrollment, required advertising budget, and enrollment timeline.
- Produces a recruitment proposal covering advertising budget, site activation,
  and per-enrollment performance fees.

## Who it serves

Pharmaceutical and biotech sponsors, contract research organizations, site
management organizations, and individual research sites.

## Products

- **DYNO Ai 2.0™** — protocol analysis and enrollment forecasting engine.
- **Clinical Trial Scan MRI** (Markets Research Intelligence) — media budget
  modeling for consumer, over-the-counter, and prescription products, using the
  same probability-funnel approach applied to purchase behavior.

## What is not published publicly

Cost per lead and cost per enrollment benchmarks, indication-level cost tables,
and protocol-specific model outputs are generated inside the platform for a
given protocol and geography. They are not published as a free public dataset.

## Related pages

- [How it works](https://dyno.clinicaltrialscan.ai/)
- [Predictive Enrollment Engineering](https://dyno.clinicaltrialscan.ai/brochures/predictive-enrollment-engineering)
- [Working with us](https://dyno.clinicaltrialscan.ai/brochures/working-with-us)
- [Partnerships](https://dyno.clinicaltrialscan.ai/partnerships)
