Advanced retinal image analysis for AMD screening

Information

  • Research Project
  • 8981869
  • ApplicationId
    8981869
  • Core Project Number
    R43EY025984
  • Full Project Number
    1R43EY025984-01
  • Serial Number
    025984
  • FOA Number
    PA-14-071
  • Sub Project Id
  • Project Start Date
    8/1/2015 - 9 years ago
  • Project End Date
    12/31/2016 - 8 years ago
  • Program Officer Name
    WUJEK, JEROME R
  • Budget Start Date
    8/1/2015 - 9 years ago
  • Budget End Date
    12/31/2016 - 8 years ago
  • Fiscal Year
    2015
  • Support Year
    01
  • Suffix
  • Award Notice Date
    7/24/2015 - 9 years ago
Organizations

Advanced retinal image analysis for AMD screening

? DESCRIPTION (provided by applicant): In this grant application we propose to develop a screening tool for Age-related macular degeneration (AMD) - the single largest cause for legal blindness among aged Americans. A robust screening test that can be performed by a primary care physician or an optometrist, who can then refer the patient to an ophthalmologist, will be a useful first step in casting a wider net and helping reduce the toll of severe vision loss with timely intervention and patient education. Large, multi-center studies Age Related Eye Disease Study (AREDS) and AREDS2 have shown that vitamin supplements along with minerals and antioxidants slow progression of the disease in patients with intermediate AMD, and those with late AMD in one eye. Identifying the at-risk population for advanced AMD who might benefit from the supplements in a timely manner is a growing problem with the aging baby boomers. The proposed tool, EyeSeeAMD, will analyze color retinal fundus images from a patient, automatically detect the various pathologies associated with AMD, quantify them and recommend if the patient needs to be referred to an expert for further evaluation. We have promising preliminary results in drusen detection, detailed plans for developing the envisioned device, and excellent clinical, research, and engineering teams to guarantee success of the project.

IC Name
NATIONAL EYE INSTITUTE
  • Activity
    R43
  • Administering IC
    EY
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    224999
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    867
  • Ed Inst. Type
  • Funding ICs
    NEI:224999\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    EYENUK, INC.
  • Organization Department
  • Organization DUNS
    832930569
  • Organization City
    WOODLAND HILLS
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    913677409
  • Organization District
    UNITED STATES