# Clinical Trial Scan (CT SCAN)

Clinical Trial Scan is a clinical trial enrollment company. Its DYNO Ai™
platform applies Predictive Enrollment Engineering™ (patent-pending) to
forecast the cost of every enrolled patient before a study begins, and its team
then runs the advertising, calling, pre-screening and scheduling that deliver
those patients. Delaware corporation since 2020.

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

## What the company does

- Reads a study's ClinicalTrials.gov record and protocol 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 the eight-step funnel (P1 answers the call, P2 passes the phone
  pre-screen, P3 books a visit, P4 shows up, P5 records confirm eligibility,
  P6 attends screening, P7 passes screening, P8 enrolls), simulated 10,000
  times, to forecast cost per lead, cost per enrolled patient, advertising
  budget and timeline.
- Runs IRB-approved live advertising (never re-used patient databases), calls
  and pre-screens every lead, books qualified patients and follows up.
- Produces a proposal covering the advertising budget, a per-site Initiation
  Fee, and Enrollment Reimbursement, the per-randomized-patient fee that is the
  performance-based part.

## Who it serves

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

## Products

- **DYNO Ai™**: enrollment forecasting engine.
- **CTS-360™**: our SMO, research sites trained and readied by CT SCAN in our
  methodology.
- **Clinical Trial Scan MRI** (Market 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)