AI-enabled fully automated retinal image-based biomarkers for mild cognitive impairment and neurodegenerative disorders
Award amount
$224,131Program and phase
SBIR · Phase IAward year
2019Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- EYENUK, INC.
- Proposal award date
- 2019-09-30
- Contract end date
- 2020-08-31
- UEI
- ZCM5S7UD1WT4
- Solicitation number
- PA18-574
- Topic code
- NINDS
Research abstract
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.
- Fully-Automated Lesion Characterization in Ultrawide-Field Retinal Images
- Automated image-based biomarker computation tools for diabetic retinopathy
- Automated end-to-end retinal screening system with robotic image capture and deep learning analysis
- Automated image-based biomarker computation tools for diabetic retinopathy
- Fully-automated lesion characterization in ultrawide-field retinal images
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Enhancing Healthcare Delivery and Patient Outcomes: Noninvasive Wireless Sensors to Improve Ventricular Shunt Monitoring, Reduce Imaging, and Alleviate the Burden on Providers, Patients, and Families
- Commercialization Readiness Pilot for Flow Acceleration for Stroke Thrombolysis (FAST) System
- 3D in vitro model of genetic and sporadic FTD: accelerating novel therapeutic development
- Tacrolimus-eluting nerve guidance conduit for enhanced regeneration in critical-sized peripheral nerve injuries
- Promoting tissue repair and functional recovery after spinal cord injury by targeting the microtubule regulatory protein Fidgetin-like 2: Supplement for Imaging System
Research funding history
13 SBIR/STTR records share this UEI (2012–2020). Reported award amounts total $9,832,543. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Health and Human Services