SBIR/STTR Research Award

A Model for Predicting 2-Year Risk of Incident Late Age-related Macular Degeneration

Award identifier 56f16b23ddf53b55d0129589266c4a3104516539267da24629463e4d3c7c41fbAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,758,254

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2021

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
IHEALTHSCREEN INC
Proposal award date
2021-05-01
Contract end date
2023-05-31
UEI
WPASL8LAZTJ4
Solicitation number
PA19-273
Topic code
NEI

Research abstract

PROJECT SUMMARY Age-related macular degeneration (AMD), in the dry or wet form, is the leading cause of vision loss in the developed countries. The Age-Related Eye Disease Study (AREDS) showed that specific antioxidant vitamin supplementation reduces the risk of progression from intermediate stages to late AMD and maintains visual acuity in approximately 25% of patients. While treatment of wet AMD with Intraocular injections can be effective in maintaining vision, such treatments are costly and may be associated with significant cardiovascular risks, or even progression of dry AMD. Hence, it is critical to identify patients at the earlier stages. Unfortunately, there is no effective, automated screening tool to accomplish this, and the patients themselves may be asymptomatic. The goal of this SBIR Direct-to-Phase II proposal is to provide such tool. We have demonstrated the feasibility of AMD screening software ‘iPredictTM’ by successfully identifying 98.1% of individuals with early or intermediate stage AMD. iPredictTM also successfully predicted which individuals would develop late AMD within one year with 87.8% accuracy and two years with 88.4% accuracy. iPredictTM has prototype components for image analysis and machine learning. We also developed a HIPAA compliant telemedicine platform which will enable iPredictTM to perform large-scale screening from remote and rural areas. In order to bring the product to market, these components need to be integrated and tested which is the aim of our proposed Direct-to-Phase II proposal. We aim to develop the finished product which will be ready for the market. We also aim to evaluate the efficacy of iPredictTM in a clinical setup. The AMD preventative market is estimated around $5.4 billion in the U.S. alone. iPredictTM will capture the major market share with its best accuracy and be the first prediction tool for AMD. We aim to commercialize iPredictTM for the screening and prevention of AMD, saving millions of citizens from blindness and reduced quality of life. With iPredictTM’s improvements in speed of delivery, cost of care, and ease of access, the product will be a significant addition to the healthcare system. The iPredictTM’s telemedicine platform will allow large-scale screening from remote/rural areas, primary care clinics, optometry offices and ophthalmology clinics.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

4 SBIR/STTR records share this UEI (2016–2024). Reported award amounts total $4,193,359. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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