Applications for research funding can be placed in one of four different subject groups as described below. Please note that subgroups have been added in the subject groups for clinical somatic research and biomedical research with a translational perspective.
Clinical research in mental health and substance dependence/addiction
- Prevention, diagnosis, and treatment
- Biological, social, and environmental risk factors, causal relationships
Mechanistic and functional studies (including immunopsychiatry, neurodevelopment, cognitive neuroscience, etc.) - Digital tools, decision support, and technology development related to the field
- Various types of addiction conditions (substances, gambling addiction, etc.)
- Pharmacological studies
Research in health services, public health, epidemiology, etc.
- Epidemiology, cohort and registry studies
- Health services research (including studies of digital technology in specialist healthcare, quality and safety, delivery and access to health services, collaboration with primary healthcare, etc.)
- Studies of health and disease based on large data sources (phenotype, health surveys, socioeconomics, etc.)
- Interventions to improve public health, including studies related to health literacy and ethnic and social inequality in access to health services
- Research on patient pathways and health services, health economics
- Global health, global health challenges, and changes in disease burden (mental health, HIV, malaria, infections, etc.)
Clinical somatic research
A. Clinical somatic research, including treatment research
- Studies with patient inclusion, including evaluation of diagnostics, treatment methods, and prevention
- Treatment research for comparison and evaluation of medications, surgical methods, medical technology, etc.
- Studies of treatment choices, outcomes, and patient-related goals, e.g. related to function, physiology, gender differences, age, ethnicity, quality of life, survival, etc.
B. Health and biomedical informatics
- Use of large datasets (multidimensional data, complex datasets), artificial intelligence, and machine learning for diagnostics, prevention, and treatment
- Studies of large datasets from patient treatment (imaging, genomics, MTU, etc.)
- Development of methods and technology for the collection, processing, and analysis of patient data, clinical decision support
Biomedical research with a translational perspective
A. Experimental medical research
- Experimental medical research
- Mechanistic studies of health and disease at the molecular, structural, and cellular levels
- Development of new, experimental methods
Research conducted in model systems (cell models, organoids, model organisms, etc.)
B. Translational research and precision medicine
- “Proof-of-concept” studies for new, innovative methods, including immunotherapies, gene therapies, regenerative medicine, etc.
- Development of precision medicine, including proof of concept for new diagnostics, -omics technologies, stratification strategies, treatment methods, etc.
- Validation of new biomarkers and molecular targets for diagnostics and treatment
Last updated 5/28/2026