- Medical and health sensors and medical robotics systems, human-robot interaction, computer-aided surgery
- Methods and algorithms for aggregation of multi-scale clinical, biomedical, contextual, and environmental data about each patient (e.g., in EHRs, personal health records – PHR, etc.), and unified and extensible metadata standards, and decision support tools to facilitate optimized patient-centered, evidence-based decisions.
- Underlying socioeconomic and behavioral principles underlying patient participation in healthcare and wellness.
- Parsing and mining the texts of the social media to accurately predict epidemics, such as flu; building statistical models to predict disease occurrence.
- Protocols and interface standards to enable interoperable, temporally synchronized, medical prosthetic and embedded devices and those devices for continuous capture, storage, and transmission of physiological state and environmental data.
- Interoperable, distributed, federated, secure and scalable digital infrastructure (such as Blockchain), languages, and tools for effective sharing and use of electronic health record data, data representation, and networked applications that access such data.
