At a routine eye exam, Kaushal Solanki was told an abnormal retinal scan might be a sign of early blindness, and that he needed to see an opthamologist fast. But even with superb health insurance, his appointment wait-time was more than four months, time Solanki was worried he couldn’t lose....
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EYENUK, INC.
Company Information
Address
http://www.eyenuk.com
21860 Burbank Blvd Ste 160
WOODLAND HILLS, CA
91367-7409
United States
http://www.eyenuk.com
Information
UEI: ZCM5S7UD1WT4
# of Employees: 4
Ownership Information
HUBZone Owned: No
Socially and Economically Disadvantaged: No
Woman Owned: No
Award Charts
Award Listing
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Automated image-based biomarker computation tools for diabetic retinopathy
Amount: $300,000.00AbstractIn this project, we present EyeMark, a system with advanced longitudinal image anal- ysis tools for automated computation of biomarkers for diabetic retinopathy (DR) using retinal fundus image ...
SBIRPhase II2020Department of Health and Human Services National Institutes of Health -
Fully-Automated Lesion Characterization in Ultrawide-Field Retinal Images
Amount: $1,997,733.00AbstractIn this grant application we propose to develop, EyeReadUWF, a fully automated tool for lesion characterization in ultra-widefield scanning laser ophthalmoscopy (UWF SLO) images. In recent tim ...
SBIRPhase II2020Department of Health and Human Services National Institutes of Health -
AI-enabled fully automated retinal image-based biomarkers for mild cognitive impairment and neurodegenerative disorders
Amount: $224,131.00AbstractIn this SBIR projectwe present EyeQuantan AI enabled fully automated tool to compute retinal image based biomarkers for mild cognitive impairment and neurodegenerative disordersThe largegrowin ...
SBIRPhase I2019Department of Health and Human Services National Institutes of Health -
Automated end-to-end retinal screening system with robotic image capture and deep learning analysis
Amount: $218,618.00AbstractIn this SBIR projectwe propose EyeScreenBotan end to end automated retinal image capture and analysis systemcomprising a self drivenrobotic fundus camera platform for automated image capture a ...
SBIRPhase I2019Department of Health and Human Services National Institutes of Health -
Fully-automated lesion characterization in ultrawide-field retinal images
Amount: $216,440.00AbstractIn this grant application we propose to developEyeReadUWFa fully automated tool for lesion characterization in ultra widefield scanning laser ophthalmoscopyUWF SLOimagesIn recent times non myd ...
SBIRPhase I2018Department of Health and Human Services National Institutes of Health -
Automated image-based biomarker computation tools for diabetic retinopathy
Amount: $1,500,000.00AbstractIn this SBIR projectwe present EyeMarka set of advanced image analysis tools for automated computation of biomarkers for diabetic retinopathyDRusing retinal fundus imagesSpecificallywe will de ...
SBIRPhase II2018Department of Health and Human Services National Institutes of Health -
Advanced Image Analysis Tools for Diabetic Retinopathy Telemedicine Application
Amount: $1,013,223.00DESCRIPTION provided by applicant In this Phase IIB application we propose to commercialize and bring to market EyeArt a fully automated high throughput retinal image analysis based diabetic re ...
SBIRPhase II2016Department of Health and Human Services National Institutes of Health -
Advanced Image Analysis Tools for Diabetic Retinopathy Telemedicine Application
Amount: $1,512,754.00Abstract In this Commercialization Readiness Pilot CRP Program application we propose to commercialize and bring to market EyeArt a fully automated high throughput retinal image analysis based ...
SBIRPhase I2016Department of Health and Human Services National Institutes of Health -
Advanced Image Analysis Tools for Diabetic Retinopathy Telemedicine Application
Amount: $2,011,804.00AbstractIn this Commercialization Readiness PilotCRPProgram applicationwe propose to commercialize and bring to market EyeArta fully automatedhigh throughputretinal image analysis based diabetic retin ...
SBIRPhase II2016Department of Health and Human Services National Institutes of Health -
Advanced retinal image analysis for AMD screening
Amount: $224,999.00DESCRIPTION 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 ag ...
SBIRPhase I2015Department of Health and Human Services National Institutes of Health
