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AI Feasibility for all Glaucoma / Dry-Eye Combination Program
All Case Studies

Ophthalmology

AI Feasibility for all Glaucoma / Dry-Eye Combination Program

Focus Area

Ophthalmology

Duration

8 weeks (feasibility)

Footprint

20 sites shortlisted

Key Outcome

Study start-up 10 weeks earlier

Overview

AI-driven feasibility scoring compressed a global sponsor's site-selection cycle from 12 weeks to 8 for a combination ophthalmology program.

The Challenge

What we were asked to solve

A US-based sponsor needed rapid site identification for a combination of glaucoma + dry-eye study, with a hard investor-milestone for FPI.

Our Approach

How we delivered it

  • 1AI feasibility model scored our investigator network across historical enrollment, retention and Part-11 finding history
  • 2Rapid outreach and confidential slot-holding at 24 top-ranked sites
  • 3Predictive patient-availability model at site level
  • 4Central IRB and study-start-up managed in parallel

Outcomes

Study start-up 10 weeks earlier

18 sites shortlisted and confirmed inside 6 weeks
Study start-up completed 8 weeks ahead of sponsor plan
FPI hit the sponsor's investor milestone with 4 days to spare
Retention at 6 months exceeded model prediction by 7%

Explore More

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Case StudyDecentralized Phase III in Retinal DiseaseInsightReimagining Ophthalmology Trials Through Decentralization

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Focus AreaOphthalmology