Healthcare Data Transformation- Technologies that deploy agentic AI to enable seamless system integration and retrieve patient data across proprietary platforms, while making unstructured data such as physician notes, images, and PDFs readable for AI models and readily accessible to doctors.
Diagnostic Models- Solutions that ensure doctors worldwide have access to high-quality, specialized diagnostic software, and that develop accurate small machine learning models capable of working effectively across diverse patient populations.
Accelerated Therapeutic Development- Technologies that expand disease and health datasets to improve the identification of cellular targets for therapies, and that use artificial intelligence to test therapeutics before proceeding through full drug development processes.
Digital Health Data- Solutions that improve the accuracy of wearable health technology, integrate multiple streams of digital health data into actionable diagnoses, and utilize wearable data for public health monitoring and pandemic prevention.
Point-of-Need Solutions- Technologies that support AI models capable of functioning offline and with inconsistent access to electricity and internet, while ensuring these models work effectively despite hardware disparities in under-resourced settings.