About
Magnus Boman is a Professor of AI and Health at the Department of Medicine, Solna, Karolinska Institutet (KI), where he leads the AI@KI initiative to support researchers in AI integration. He is affiliated with the Chronic Inflammatory Disease Epidemiology research group under Johan Askling. His research focuses on AI applications in precision medicine, multimodal prediction, ethical norms in AI systems, energy-efficient computing, and quantum sensor data interpretation.
Research Interests:
- Artificial Intelligence in healthcare and precision medicine
- Multimodal data analysis for disease prediction and treatment
- Machine learning for clinical decision support systems
- Ethical and societal implications of AI
Grants:
- Swedish Research Council: Improving breast cancer histology image classification (2024-2026)
- Scalable Federated Learning (2022-2025)
- Ai in sustainable cities (VINNOVA, 2019)
Advising & Students: Supervised over 50 PhD and Master's students across KI, KTH, and Stockholm University, focusing on AI applications in healthcare, machine learning, and computational epidemiology. Notable projects include predictive modeling for mental health outcomes and variant filtering in genetic data.
Labs & Teams: Leads AI@KI, fostering AI adoption in medical research. Collaborates with the Johan Askling group on epidemiology and chronic disease studies.
