AnemiaWatch
AI Model for Noninvasive Detection and Monitoring of Anemia
Anemia: A Global Health Challenge
Understanding the widespread impact and urgent need for accessible detection methods
Transforming Anemia Detection
Revolutionary AI technology making anemia screening accessible worldwide
The Current Problem
- Anemia affects nearly 1 in 4 people globally, representing a major public health concern
- Blood tests remain the only available diagnostic method for anemia detection
- Laboratory testing is expensive and often inaccessible in underserved regions
- Point-of-care testing accuracy decreases to 70% under field conditions
- Healthcare systems face significant costs from daily phlebotomy procedures
Our AI-Powered Solution
- Smartphone camera technology enables detection using standard mobile devices
- Advanced AI algorithms analyze eye images for accurate anemia screening
- Completely noninvasive approach eliminates need for blood draws
- Cost-effective solution accessible in any location with smartphone connectivity
- Longitudinal monitoring capabilities support ongoing patient care
Telemedicine Applications
- Seamless integration with existing patient portals and healthcare gateways
- Standard screening component for annual physical examinations
- Regular monitoring for patients receiving anticoagulation therapy
- Continuous assessment support for oncology patients during treatment
- Monitoring capabilities for patients with chronic kidney disease
Global Health Impact
- Serving populations in underserved areas without laboratory facilities
- Supporting the 40% of pregnant women at risk for anemia worldwide
- Enabling pediatric screening programs in developing regions
- Reducing healthcare disparities through accessible diagnostic technology
- Facilitating cost-effective population-level health screening initiatives
Revolutionizing Healthcare Access
Join us in making anemia detection accessible to everyone, everywhere.
Get In TouchAbout AnemiaWatch
Pioneering the future of anemia detection through innovative artificial intelligence
Our Mission
To eliminate barriers to anemia detection by developing accessible, accurate, and affordable screening technology. We are dedicated to improving global health outcomes through groundbreaking AI solutions that can reach underserved populations and transform healthcare delivery worldwide.
Advanced Technology
Our proprietary artificial intelligence model processes eye images captured by standard smartphone cameras to detect and monitor anemia with clinical accuracy. This innovative approach maintains diagnostic precision while completely eliminating the need for invasive blood draws.
Clinical Excellence
Through partnerships with Mass General Brigham and participation in the MESH Incubator program, we ensure our technology meets the highest standards of clinical validation, regulatory compliance, and medical excellence required for healthcare innovation.
Global Impact Vision
Our technology has the potential to transform healthcare access for millions worldwide, from pregnant women in resource-constrained environments to cancer patients requiring regular monitoring, creating a more equitable healthcare landscape.
Expert Research Team
Multidisciplinary expertise spanning medicine, artificial intelligence, and healthcare technology
Dr. Ritchie Verma
Internal Medicine Faculty
Massachusetts General Hospital
Dr. Marko Velimirovic
Hematology/Oncology Fellow
Cleveland Clinic
Ram Dwarkanath
Senior Data Engineer
Mass General Brigham
Dr. Jonathan Heflin
Internal Medicine Faculty
Massachusetts General Hospital
Contact Our Team
Connect with AnemiaWatch to explore collaboration opportunities and learn more about our technology
General Inquiries
For questions about AnemiaWatch technology, research findings, and general information, please use our contact form or reach out directly to our team.
Partnership Development
We actively seek collaborations with healthcare institutions, technology partners, medical device companies, and research organizations committed to advancing anemia detection technology.
Research Collaboration
Academic institutions interested in clinical studies, validation research, and collaborative development opportunities are encouraged to connect with our research team.
Join Our Mission
Help transform global healthcare through innovative anemia detection technology
Why Choose AnemiaWatch
- Make direct impact on global health through innovative medical technology
- Work with cutting-edge artificial intelligence and medical imaging systems
- Collaborate with leading medical institutions and healthcare researchers
- Contribute to reducing healthcare disparities on a global scale
- Flexible, contribution-based engagement suited to mission-driven builders
Available Positions
-
Machine Learning Engineer — Computer Vision & Medical AI
Focus: model training & evaluation, data pipelines, inference optimization. -
Mobile Application Developer — iOS/Android
Focus: camera workflows, on-device inference, secure data handling, UI/UX polish.
Note: These are early-stage, contribution-based roles with flexible hours. Stipends or funding may be introduced as resources expand.
Ideal Contributors
- Hands-on builders who enjoy shipping in lean, fast-moving environments
- Experience with PyTorch/TensorFlow, OpenCV, or Core ML / TensorFlow Lite
- Strong communication skills and collaborative mindset
- Motivated by impact; comfortable contributing pro bono at inception stage
How to Express Interest
Send a brief note with links (GitHub, apps, publications) to [email protected]. Tell us where you'd like to contribute and any constraints on availability.
We welcome short, focused sprints and ongoing collaboration—remote and asynchronous friendly.