Pillar 1: Data-driven health and AI
Health data and artificial intelligence are changing how diseases are detected, treated and followed up. This pillar brings Swedish and Brazilian researchers together to develop and apply these tools in ways that are useful, safe and fair.
The challenge
Digital tools in health care are advancing quickly, but they raise hard questions. How should sensitive health data be shared across borders? How do we make sure that AI methods work for different populations and in different health care systems? And how do we move from promising research to tools that clinicians actually use? These questions are difficult to answer from within one country alone.
What we work on
- AI-assisted diagnostics. Methods in which AI supports clinicians in interpreting images, signals and clinical data, tested and evaluated in more than one health care setting.
- Health data governance. Practical models for handling health data responsibly across borders, with attention to data protection, ethics and the rules in both countries.
- Real-world evidence. Using data from everyday care to understand how treatments and interventions work in practice, and to compare results between Sweden and Brazil.
- Digital health integration. Bringing digital tools into health care systems and clinical routines, together with the people who will use them.
Why Sweden and Brazil
Sweden brings long experience of health registers, health data governance and digital health innovation. Halmstad University contributes strength in applied AI and health data analytics, and in environments that connect universities, health care and industry. Karolinska Institutet brings deep clinical and research expertise.
Brazil brings large and diverse populations, which makes it possible to test methods under very different conditions. Brazilian partners have strong profiles in this area: the University of Campinas in AI and digital health, the Federal University of Santa Catarina in information science, data governance and digital infrastructures for health systems, and the Federal University of Minas Gerais as a leader in digital health in Brazil. Together they give a breadth of expertise that few single collaborations can match.
How the pillar works
The pillar’s leads set annual priorities in dialogue with the partners. Joint workshops address practical questions such as data governance and translational regulation, and seed calls support new joint research proposals. Doctoral students and early-career researchers can spend extended periods at a partner university, hospital or company, and take part in the pillar’s activities during and after their stay.