Investigação em Saúde Personalizada

This area seeks to empower health researchers to achieve evidence-driven science towards personalised treatments. It splits into two sub-areas: <b>a)</b> personalised Internet-based treatments; <b>b)</b> human data storage, harmonisation, and controlled sharing. Important trends and challenges include collaborative tools and methods for health research, leveraging FAIR principles, security, and privacy preservation. This area is in line with the goals of the research challenge computing systems to empower human capabilities, by fostering distributed ML techniques, AI reproducibility, and new visualisation paradigms. In addition, the challenges addressed under this innovation area overlap with research challenges such as methods and tools to boost the quality of future software systems, and trustworthy control of data confidentiality and provenance.