Monere offers NiADA, a mobile application that utilizes AI to perform non-invasive hemoglobin estimation from images of the lower eyelid, providing real-time anemia detection. This technology addresses the global challenge of limited anemia screening by enabling accessible, point-of-care monitoring and trend analysis for users' hemoglobin levels.
Funding
Funding not disclosed
Founders
Product
Problem
Anemia, a condition affecting a significant portion of the global population, often goes undetected due to limited access to convenient and non-invasive screening methods, particularly in primary care settings and at home. Traditional anemia surveillance is limited, hindering timely diagnosis and intervention.
Solution
Monere's NiADA is a mobile application that leverages artificial intelligence to provide non-invasive hemoglobin estimation through analysis of lower eyelid images, enabling point-of-care anemia detection. The app allows users to monitor and track their hemoglobin trends over time, facilitating proactive management of their health. By offering a readily accessible and scalable screening process, NiADA aims to improve anemia detection rates and reduce the time to diagnosis, especially in resource-constrained environments. The technology empowers individuals and healthcare professionals to make data-driven decisions regarding anemia management and nutritional supplementation.
Target Audience
The primary target audience includes individuals seeking convenient anemia monitoring, primary care centers aiming to improve screening efficiency, and healthcare professionals looking for data-driven insights for patient care.
Features
- AI-powered analysis of lower eyelid images for non-invasive hemoglobin estimation.
- Trend tracking of hemoglobin levels over time.
- Point-of-care anemia screening at primary care centers.
- Accessible via smartphone application.
- Fast and scalable screening process.