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.

Anders Garpebring, vice-chairman, university lecturer with joint employment, Department of Radiation Sciences
 
My work includes MRI technology and various software for image analysis. I am particularly interested in taking advantage of the opportunities that open up in this field with the help of AI.

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.

Karin Nylander, member, professor/specialist trained dentist, Department of Medical Biosciences
 
My research group wants to use machine learning to identify transcriptomic and proteomic factors that play important roles in predicting the risk of relapse in patients with SCCHN and develop such models through iterative cycles to improve their accuracy, thereby facilitating the introduction of personalized treatment regimens.

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.

Anna Nordström, member, adjunct professor at the Department of Public Health and Clinical Medicine.
 
My research focuses, among other things, on how technical, digital aids can counteract or prevent individual health risks to encourage a healthier life among the elderly. AI opens up as yet unimagined possibilities for individually tailored solutions.

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.
 
Nina Sundström, member, represents Region Västerbotten. Biomedical engineer, adjunct associate professor at the Department of radiation sciences. Team leader for the research team at the Department of Biomedical Engineering and Informatics - R&D, CMTS, Region Västerbotten. Director of AIM North, a competence center in applied AI for researchers throughout the northern healthcare region. With us, you can get support with technical method expertise in machine learning and AI in clinical research projects.

My research focuses on clinical movement analysis, analysis of multimodal data from intensive care monitoring of patients with severe brain injuries and quality registers concerning patients with normal pressure hydrocephalus.
 
Karl Nyberg, student representative. Engineer with expertise in virtual reality technique.