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to develop a holistic MIS for connected devices in clinics and hospitals to support cultures of data use within health systems

to utilize generative AI to streamline data integration workflows and empower non-technical users

to develop AI tools to support home health caregivers in Global Majority countries

to support the adoption and scale-up of FHIR across the African continent

to build a global repository and regulatory network for validated AI for health solutions.

to support the development of an AI framework leveraging point-of-care data to deliver predictive insights that improve maternal and child health outcomes in East Africa

to refine AI models for clinical decision support in resource-constrained settings

to optimize PROMPTS’ AI infrastructure and integrate multilingual LLMs to improve maternal and newborn health outcomes in Kenya and Sub-Saharan Africa

to develop and implement the Automated Visual Evaluation (AVE) tool for cervical cancer screening.

to support the Jameel Clinic in utilizing machine learning for risk stratification of intraductal papillary mucinous neoplasms to prevent the development of invasive pancreatic cancer

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