Site Intelligence Widget · Free preview

How many eligible patients live within 30 miles of your site?

Enter your site name. Get your active trials, an eligible-patient estimate per trial, your geographic competition, and a diversity projection. Free, no account required to preview.

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MyTrial Site IntelligenceFree

UC San Diego Moores Cancer Center

San Diego, CA

AI-generated • Not medical advice

Active trials

4

Total eligible patients

1,806

Currently aware

43

Conversion gap

98%

of eligible aren't aware

Estimated eligible patient population

TrialEligible (est.)AwareVelocity vs. avg
  • NCT05869149Systems Science Approaches to Improve Access to Healthier Foods: The FRESH Trial84712+18%
  • NCT06458439Epcoritamab-CAR T Cells for Large B-cell Lymphomas3124-8%
  • NCT07080905Phase 3, Open-label, Single-dose Study of CSL222 in Adolescent Male Subjects (≥ 12 to &lt; 18 Years of Age) With Severe or Moderately Severe Hemophilia B49119+34%
  • NCT06159673ACP-204 in Adults With Alzheimer's Disease Psychosis1568-13%

Geographic competitor analysis (50 mi radius)

  • City of Hope

    Duarte, CA · 102 mi

    3 overlapping trials

  • Stanford Cancer Institute

    Palo Alto, CA · 481 mi

    2 overlapping trials

  • UCSF Helen Diller

    San Francisco, CA · 502 mi

    4 overlapping trials

Sites recruiting for at least one of your trials. Closer + more overlap = harder enrollment competition.

Diversity projection

Eligible-population demographics in your catchment area vs. FDA diversity guidance targets.

  • White (non-Hispanic)
    64%(+4pt vs target)
  • Hispanic / Latino
    14%(-4pt vs target)
  • Black / African American
    9%(-4pt vs target)
  • Asian
    11%(+4pt vs target)
  • Other / multiple
    2%(+0pt vs target)

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AI-generated · Not medical advice · About this

Powered by MyTrial · Data from ClinicalTrials.gov + Patient Matcher AI · How accuracy is measured

Why we built this widget free.

Sites currently have no way to estimate their eligible patient population for a given trial. They run trials based on instinct and PI relationships. We're giving them the data — free, immediately useful — and asking for nothing in return except the option to be notified when new patients land. The result for a coordinator: they can finally answer the question their site director keeps asking, “Why aren't we hitting our enrollment targets?”The result for MyTrial: every coordinator who runs the widget is one introduction closer to seeding the supply side.

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