The Cure Xchange Challenge seeks U.S.-based applicants who are working across disciplines and sectors on innovative, Equitable AI solutions for better health outcomes through improvements in:
Collecting, analyzing, curating, and making sense of big data to ensure high-quality inputs, outputs, and insights.
Using data sharing and interoperability of systems.
Creating models and systems that process massive data sets to identify specific targets for precision drugs and treatments.
Developing and refining models that use high-quality data to predict and personalize a person’s future health risks with plans to prevent or reduce these risks.
Augmenting and assisting human caregivers.
Creating and streamlining human-centered processes for delivering, providing equitable access to, managing and paying for healthcare.
Creating user-friendly interfaces to improve communication between experts and patients, including providing better information, results, and reminders.
Creating a versatile data framework that connects broadly disparate, multimodal data sets to identify patterns or insights to serve as hypotheses for improvements in health systems or global surveillance systems.