Addis Ababa University
EthiopiaCo-designing mobile camera malaria diagnostics and validating algorithmic models within local regional clinical labs.
We partner with leading academic research institutions, public clinical networks, and global health foundations to co-create, validate, and scale diagnostic intelligence.
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Collaborating with premium medical schools and clinical AI teams to validate algorithmic accuracy under challenging, low-bandwidth environments.
Deploying our offline-first diagnostics directly into primary care clinics, testing real-world deployment on mobile devices.
Connecting with non-profit health organizations and philanthropic foundations to fund, support, and scale open-source medical access.
Co-designing mobile camera malaria diagnostics and validating algorithmic models within local regional clinical labs.
Pioneering end-to-end laparoscope embedded AI models optimized for rural clinical environments.
Deploying handheld and offline-first cell counters across community clinics in multiple sub-Saharan territories.
Collaborative research on deep-learning screening models specialized for highly compressed mammography scans.
Facilitating high-level roundtable discussions on regulatory standards for open source diagnostics.
CodeTherapy’s clinical co-creation model has drastically improved our ability to validate algorithms. Their deep commitment to health equity ensures the software is customized to our exact clinical workflow from day one.
Dr. Ngozi Okafor
Director of Public Health Integrations, Pan-African Alliance
Submit an inquiry detailing your research focus, local clinical needs, or available testing infrastructure.
Collaborate directly with our clinical and AI specialists to structure validation protocols and custom offline deployment configurations.
Integrate model architectures, evaluate accuracy, and deploy validated diagnostic systems directly to frontline clinics.