Qure.ai Wins Gates Foundation Grant To Develop AI Point-Of-Care Ultrasound For TB And Pneumonia
Summary
Qure.ai received a multimillion-dollar grant from the Gates Foundation to expand global health work and develop AI-enabled point-of-care ultrasound algorithms for earlier detection of tuberculosis and pneumonia in under-resourced settings. The funding will create a large, open-source, multi-modal database (de-identified clinical histories, chest X-rays, thoracic ultrasound, high-resolution CT, cough and lung recordings, and lab markers) aligned with WHO lung-diagnostic pathways. Qure.ai says its AI imaging deployments across 105+ countries already cut time to diagnosis in some settings from roughly two weeks to one to two days and will use the grant to scale access where specialists and advanced imaging are scarce. The initiative emphasizes children and low- and middle-income regions and aims to help researchers worldwide develop, validate, and improve new AI models for TB, pneumonia, and broader lung health.
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