Image: Edward Jenner
Utilizing cutting-edge, human-centered techniques to address contemporary challenges within health and medicine.
This area represents a research-centric AI approach in health and biomedicine. The aim is to bring together (pre)clinical and technical researchers in joint projects where cutting-edge technologies are applied and adapted to complex biological systems (brain and cancer biology). This focus area also aims to create strong networks to disseminate knowledge on the opportunities, limitations and prerequisites for the application of AI and machine learning in health and medicine. The aim is to gather experiences of applied AI in the field nationally and internationally, to stimulate local activities and enable a head start in local applications where possible.
TAIGA's AI in Health and Medicine focus area is coordinated by Paolo Medini, Associate Professor of Physiology at Umeå University. His research focuses on the function and plasticity of neuronal networks in the living brain in normal as well as pathological conditions. Artificial intelligence was developed using neural networks that initially mimicked those underlying natural intelligence. AI will now facilitate our understanding of brain function, just as it will in other complex biological systems of clinical interest (e.g. personalized medicine in cancer research).
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