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Advanced Image Analysis Tools for Diabetic Retinopathy Telemedicine Application

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 9SB1EY027241-06
Agency Tracking Number: SB1EY027241
Amount: $1,512,754.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NEI
Solicitation Number: PAR16-027
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-30
Award End Date (Contract End Date): 2019-07-31
Small Business Information
21860 BURBANK BLVD STE 160, Woodland Hills, CA, 91367-7409
DUNS: 832930569
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 KAUSHAL SOLANKI
 (818) 835-3585
 solanki@eyenuk.com
Business Contact
 KAUSHAL SOLANKI
Phone: (818) 835-3585
Email: solanki@eyenuk.com
Research Institution
N/A
Abstract
Abstract 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 diabetic retinopathy DR screening tool which has been developed and already validated in bench tests on very large real world data by developing and executing a market access plan conducting a pilot clinical study and formulating an intellectual property strategy With its fully automated use real world applicability handles variable number of images per patient including poor quality and external eye images high throughput capability can analyze thousands of patient cases in just a few hours scalable cloud based architecture and ability to seamlessly integrate into clinical workflows EyeArt will aid the expansion of DR screening and help bridge the fast growing disparity between the number of diabetic patients and the number of eye care providers DR is a common microvascular complication of diabetes potentially affecting of all diabetic patients Even though vision loss due to DR is preventable by early detection and treatment DR remains to be one of the leading global causes of preventable blindness primarily due to the lack of easy access to eye care providers Automated DR screening is the only way to make DR screening more accessible to the large and growing population of diabetic patients currently million in the US million world wide and expected to grow to million and million respectively by To help reduce risk of DR related vision loss in the diabetic population EyeArt uses advanced image analysis algorithms to make DR screening more efficient cost effective and accessible EyeArt has been validated and shown to have high screening safety sensitivity and efficacy specificity on multiple large real world datasets including one with over patient cases and images Eyenuk has received ISO certification as a medical device manufacturer and EyeArt has received CE Marking and is commercially available in Europe We will clinically validate EyeArt in formal clinical trials which will pave the way for EyeArt s availability in the US DR screening market EyeArt will reduce the burden on clinical resources by improving health care productivity and also help increase the DR screening conformance in the diabetic population and thus aid in reducing and ultimately eliminating vision loss due to DR through early detection and treatment Narrative EyeArt a fully automated highly accurate diabetic retinopathy DR screening system will help enable exponential expansion of screening of diabetic people who increasingly face the risk of vision loss asymptomatically making DR the leading cause of blindness in the adult working age population EyeArt s integration into existing telescreening PACS systems such as EyePACS and retinal camera software will enable its immediate use in wide range of clinical setups such as EyePACs network of primary care centers in the US and elsewhere and Los Angeles County Department of Health Services LAC DHS The increased access to DR screening with high accuracy will help significantly reduce vision loss due to DR through early detection and treatment

* Information listed above is at the time of submission. *

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