Predictive medicine – Mattias Rantalainen's research group

The Predictive Medicine group focuses on medical research that is driven by machine learning, artificial intelligence (AI) and large population representative data sets. Currently our research activities are in the areas of precision medicine and AI-based computational pathology.

Sketch of the Wargentin building, KI Campus Solna

The group develops and applies AI and machine learning methodologies for predictive modelling in biomedical applications, with a particular interest in precision medicine and cancer research.

Our mission is to drive the development and application of data-driven approaches in cancer precision medicine and to develop and validate novel patient stratification models, including prognostic and treatment predictive applications. To achieve this we develop methods and models that allow us to transform large biomedical data into clinically relevant predictions at the individual level. Our research also includes clinical translation and implementation of regulatory approved medical devices.

Common for our research projects is the use of large datasets (big-data) across multiple modalities including comprehensive molecular profiling (e.g. DNA- and RNA-sequencing), clinical information and medical imaging data (histopathology). 

Main research areas

Computational pathology

AI (deep learning) driven research focusing on developing and validating models in the domain of cancer histopathology. We focus on precision pathology, i.e. applications where the focus is to predict patient outcomes.  The research is based on large population representative studies (we have > 300,000 WSIs collected in-house). The main focus is on breast, prostate and colorectal cancer. We currently coordinate several national and international initiatives (,, 

Cancer precision medicine

Development and validation of predictive models for improved patient stratification, based on comprehensive molecular phenotyping data (e.g. DNA- and RNA-sequencing)


All publications from group members

Staff and contact

Group leader

All members of the group

Visiting address

Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Nobels väg 12A, Stockholm, 171 77, Sweden

Postal address

Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, PO Box 281, Stockholm, 171 77, Sweden

Artificial Intelligence Big Data Cancer and Oncology Epidemiology Machine Learning Medical Image Processing Pathology Precision Medicine Public Health, Global Health, Social Medicine and Epidemiology Show all
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