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Forecasting Glaucoma Disease Progression with Artificial Intelligence (AI) Grant

THE GLAUCOMA FOUNDATION INC

Foundation One-time Grants for Science Research

Funding Amount

Up to $250,000

Deadline

Rolling / Open

Grant Type

foundation

Overview

Forecasting Glaucoma Disease Progression with Artificial Intelligence Grant

Overview: The Glaucoma Foundation issued a Request for Applications (RFA) for research addressing critical gaps in glaucoma care using artificial intelligence strategies.

Focus: Forecasting glaucoma disease progression and predicting whether patients will require incisional surgery or be blinded by glaucoma.

Award Amount: Up to $250,000 USD over a two-year period. No indirect funds are allowed.

Key Requirements:

  • Research team must be willing to share the algorithm freely (without sharing individual-level patient data)

  • Applications must forecast outcomes rather than provide alternative monitoring strategies

  • Preference given to applications that could lead to a randomized clinical trial of AI-guided versus usual care in the management of glaucoma

  • Focus on applications that forecast an outcome and ultimately impact patient care
  • Major Gaps Addressed:

  • No current way to forecast glaucoma disease progression

  • Lack of predictions about whether patients will require incisional surgery or be blinded by glaucoma

  • Arbitrary decisions about target IOP based only on clinical consideration of patient age, baseline damage, and baseline IOP
  • Status: This was a specific RFA issued in 2021. The University of California, San Diego was awarded $250,000 for a two-year project on this topic.

    Contact Information:

  • The Glaucoma Foundation

  • 80 Maiden Lane, Suite 700

  • New York, NY 10038

  • Phone: (212) 285-0080

  • Email: info@glaucomafoundation.org
  • How to Apply

    Application Process

    Submission Requirements:

  • Detailed research proposal addressing the RFA focus

  • Applications must clearly articulate how the research will forecast glaucoma progression outcomes

  • Explanation of algorithm sharing strategy and implementation plan
  • Eligibility:

  • Research teams from institutions of higher education

  • Interdisciplinary teams with AI expertise encouraged
  • Selection Process:

  • Applications reviewed by a panel of independent AI experts

  • Competitive evaluation based on scientific merit and potential impact
  • Note: This was a time-limited RFA. Check the website or contact TGF directly for information on current open calls.

    Focus Areas & Funding Uses

    Fields of Work

    science-research

    Categories

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