Genius CohortHow many SUS patients fit your protocol, and where they are.
Genius Cohort applies your study criteria to real records from Brazil's public health system (SUS) and shows the eligible cohort, the arrival of new cases, the sites that treat these patients and the recruitment time, in minutes.
One answer for each side of the study
Pharmaceutical industry
“Is this protocol feasible? Which criterion blocks recruitment?”
Criterion-by-criterion eligibility funnel and a simulator that tests alternative protocol versions.
CRO
“Where to open sites, and how many are needed?”
Sites that treat the cohort, monthly arrival of new cases, research experience and ClinicalTrials.gov competition, with AI-suggested site roles: anchor, complementary, to develop, avoid.
Research site
“Do I have patients for this study? Who can refer them?”
Patients the site already treats, nearby referrers, estimated recruitment curve and a medical-record pre-screening checklist.
Research sites have free access.
From protocol to recruitment plan
01
Upload the protocol
Upload the protocol in Word or PDF. The AI splits each inclusion and exclusion criterion into assessable in SUS data, approximated, or not assessable.
02
Eligibility funnel
See how many patients remain after each criterion and which one blocks recruitment.
03
Where the patients are
Where the patients live and where they are treated.
04
Site selection
Sites that treat the cohort, with suggested subjects per site.
05
Recruitment time and curve
Estimated recruitment time and curve.
06
AI analysis
A tab that writes a structured report for each stakeholder, exportable to Word, PDF and a Gamma presentation. Every number comes from the data, not typed by the AI.
Real data, linked and up to date
SUS (DataSUS) records since 2008
Diagnoses, procedures, chemotherapy, specialized-component medications and hospitalizations, linked by patient.
CNES
Every health facility: address, beds, accreditations and equipment.
ClinicalTrials.gov
More than 11,000 studies with sites in Brazil, updated weekly.
Aggregate data, no patient identified
Aggregate counts only
Any number below 10 is shown as "< 10"
No patient is identified
The uploaded protocol is not stored and is not used to train AI
Available in Portuguese and English
Same TechTrials login as the other products
Frequently asked questions
