The Faculty of Medicine's Council for AI and Autonomous Systems

Chair Jenny Persson, together with vice chair Anders Garpebring and members who broadly represent the faculty, are tasked with making visible and coordinating AI research at the Faculty of Medicine. MAI also has a doctoral student representative.

The chair and vice-chair represent the Faculty of Medicine in the steering group for the Center for Transdisciplinary AI (TAIGA).

MAI-council

Jenny Persson, chair, professor, Department of molecular biology.
 
My research focuses on precision medicine, which applies AI technology and machine learning to cancer biomarkers to predict both risk and treatment outcomes. Gene mutations and epigenetic changes will be integrated with other parameters in the use of AI-based models to develop tailored treatments of metastatic cancer disease.

Paolo Medini, member, university lecturer at the Department of Integrative Studies
 
In my lab, we work with studies of signals between different sensory impressions and the cerebral cortex, with the aim of developing knowledge and strategies to stimulate the brain's ability to repair. With the help of AI-controlled imaging techniques, great opportunities are opened up to expand the field of research.

Markku Haapamäki, member, university lecturer/senior physician Department of surgical and perioperative sciences.
 
I have participated in colorectal research where AI techniques and advanced statistical models have been used to develop a program for predicting the probability of having a life with a stoma after surgery for rectal cancer. My latest project develops and researches how Virtual Reality technology connected to AI can be used in the education of the medical program and the nursing program as well as for mass training of difficult but rarely occurring clinical situations for doctors and nurses.

Johan Normark, member, associate professor, consultant (attending) physician at the Department of clinical microbiology.

My research revolves around immunological and metabolomic responses to acute infections and vaccination. With AI, our opportunities to analyze larger amounts of data and thus reach new conclusions are increased.
 
Madeleine Blusi, associate professor, combined with clinical employment at the Department of nursing.

My research is about digitalization in health and care, with a focus on interactive intelligent systems, participation and methods for co-creation.