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Bring more clinical trials to your patients.

Bring more clinical trials to your patients.

Bring more clinical trials to your patients.

Help sponsors discover your patient population, estimate trial feasibility, and identify potential participants using real clinical data, without exposing patient identities.

GenMD uses synthetic patients to estimate eligible populations before validating potential matches against real patient records within your institution's secure environment.

Become a partner

NCT05513872
Daily smokers
RealDigital Twin
Everyone in the dataset
40,000
40,000
+Adult (18 or older)
31,559
31,415
+Smokes 5 or more cigarettes a day
186
190
+Not in stop-smoking treatment
176
187
−Pregnant or breastfeeding
174
182
−Recent heart attack
173
180
−Stroke in the past 3 months
171
179
Eligible: 171 real · 179 synthetic+5% gap
Bar length on a log scale · 40,000 real and 40,000 synthetic patients

From trial discovery to real patients.

From trial discovery to real patients.

From trial discovery to real patients.

Sponsors explore potential patient populations using synthetic data. When a promising match emerges, the institution can verify eligibility against real records, under its own governance.

Sponsors explore potential patient populations using synthetic data. When a promising match emerges, the institution can verify eligibility against real records, under its own governance.

01

Discover

Sponsors and CROs explore relevant patient populations through synthetic cohorts.

02

Estimate

Trial criteria are applied to synthetic patients to estimate eligible populations.

03

Verify

With institutional authorization, potential matches are checked against real patient records inside the hospital.

04

Connect

The institution controls follow-up, patient outreach, and any introduction to the sponsor.

Real patient records stay under institutional control.

For hospitals and healthcare institutions

More trials. More opportunities for your patients.

More trials. More opportunities for your patients.

Make your patient population discoverable to sponsors without sharing identifiable records. Attract research opportunities, reduce manual feasibility work, and retain control over patient identification and outreach.

Make your patient population discoverable to sponsors without sharing identifiable records. Attract research opportunities, reduce manual feasibility work, and retain control over patient identification and outreach.

For sponsors and CROs

Find the right sites before recruitment begins.

Find the right sites before recruitment begins.

Discover hospitals with potentially eligible patients, compare estimated cohort sizes, and request verified feasibility counts through participating institutions.

Discover hospitals with potentially eligible patients, compare estimated cohort sizes, and request verified feasibility counts through participating institutions.

See how synthetic patients predict real trial feasibility.

See how synthetic patients predict real trial feasibility.

See how synthetic patients predict real trial feasibility.

We’ve tested our technology against 400 real clinical trials, comparing eligibility estimates from synthetic patients with counts from real de-identified health records.

Explore the interactive sandbox to see how inclusion and exclusion criteria affect estimated patient populations.

We’ve tested our technology against 400 real clinical trials, comparing eligibility estimates from synthetic patients with counts from real de-identified health records. Explore the interactive sandbox to see how inclusion and exclusion criteria affect estimated patient populations.

Inclusion · Must have it
Exclusion · Removed if present
Eligible · Who passes every rule
Gap · ±25% counts as close
1Choose a trial
9 real trials

Daily smokers

Overcoming Nicotine Dependence to Enable Quitting

NCT05513872 on ClinicalTrials.gov ↗
2Switch criteria
InclusionPatients must have
ExclusionPatients with these are removed
3Compare the counts
Real171eligible · 0.43% of 40,000
Synthetic179eligible · 0.45% of 40,000
Synthetic is +5% from realWithin ±25%
Criteria applied · 6
Adult (18 or older)Smokes 5 or more cigarettes a dayNot in stop-smoking treatmentPregnant or breastfeedingRecent heart attackStroke in the past 3 months

64 of 64 possible switch combinations for this trial stay within ±25%. Largest gap: 16%.

Validated against real data

Same trial and criteria. Comparable results.

Same trial and criteria. Comparable results.

Same trial and criteria. Comparable results.

Our validation compares identical trial criteria across synthetic and real patient datasets, measuring how closely synthetic estimates reproduce actual cohort sizes.

Our validation compares identical trial criteria across synthetic and real patient datasets, measuring how closely synthetic estimates reproduce actual cohort sizes.

400

400

Trials evaluated

0.95

0.95

Rank agreement

15%

15%

Median count gap*

*Among evaluated trials with at least 50 real eligible patients. Results reflect the validation dataset, not guaranteed performance at new institutions.

0101001,00010,0000101001,00010,000— synthetic = realshaded band: ±25%Real patients eligible (log scale)Synthetic patients eligible (log scale)
Within ±25%Outside ±25%Fainter: under 50 real patientsRinged: in the sandbox

Turn your patient population into new clinical research opportunities.

Turn your patient population into new clinical research opportunities.

Turn your patient population into new clinical research opportunities.

Whether you’re a healthcare institution looking to attract more trials or a sponsor searching for the right sites, we’d love to explore how we can work together.

Talk with GenMD

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