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UCSF Helen Diller Family Comprehensive Cancer Center
Unclaimed profileAcademic Network · San Francisco, CA · ~Regional partner network (exact count unknown) sites
Intera lens
ICP 4Lift (cardio sample) 0.10Recruit soph 0.14
Quality Scorecard (1–100)
Overall65Recruit23Ops85Sponsor78Ther80
Performance (observed)
Historical trials
296
Completed
174
Terminated/Withdrawn
50
Completion rate
78%
Active now
62
Phase 2
119
Phase 3
53
Realized enrollment
52,077
First study year
1984
Years active
42
Match confidence
high
Enrollment velocity (inf)
1,240
Therapeutic
Areas
Comprehensive oncology (all cancer types), translational research, precision medicine
Specialties
Oncology, cancer therapy, Phase I-IV
Breadth (conditions)
384
States
CA and multi-state partner network
Recruitment (web observed)
Patient database
Y (UCSF health records)
Capability notes
Large academic research center; referral-based patient access; clinical partner network includes Zuckerberg SF General, SF VA Health Care System
Relationships
Sponsors
University of California, San Francisco; Children's Oncology Group; Alliance for Clinical Trials in Oncology; New Approaches to Neuroblastoma Therapy Consortium; Radiation Therapy Oncology Group; Pfizer
CROs
ICON plc; Lexicon Pharmaceuticals; MacroGenics; The Emmes Company, LLC
Partnerships
UCSF Health, academic medical center
Owner / parent
UCSF (University of California system)
Funding
Public/academic funding
Expansion
Academic institution
Capacity & people
Investigators
—
Coordinators
—
CEO
Alan Ashworth, PhD, FRS (President, UCSF Helen Diller Family Comprehensive Cancer Center)
VP Clinical Ops
Unknown
VP Site Ops
Unknown
VP Recruitment
Unknown
Emails
877-827-3222 (call center)
Tech & DCT
EHR
Y (academic health system)
eSource
Yes
eConsent
Yes
Builds tech
Vendors
Tech stack
OnCore (CTMS mentioned on research support site)
Recruiting visible
Y
Notes
NCI-Designated Comprehensive Cancer Center (est. 1948); academic/bureaucratic procurement; cancer-only focus; limited direct recruitment marketing; translational research strong but traditional academic enrollment model.
Recommendation features (sample indication)
Ind fit 0.12Liftability 0.10Overall65
FUTURE MOAT: absolute enrollment rates, funnel CPR, measured SSU, screen-fail reasons.