Intelligent Health focus areas

At OsloMet we work on developing algorithms and models using machine learning tailored towards applications in medical research that will help to solve the challenges in the healthcare sector.

Assistive technology, or in the Nordic context often called welfare technology, refers to tools and services that aim to improve quality of life and wellbeing.

Researchers at OsloMet work to develop methods and critically assess the usefulness of biomarkers in diagnostics and treatment, personalized medicine and large-scale analyses.

OsloMet researchers and research groups apply different omics-technologies to study the molecules of life, how their variation affects their functions, how they are generated and decay.

Sensors are devices that react and respond to various stimuli, such as biochemical, electrical, or mechanical signals. OsloMet uses and develops sensors to gather health related data.

This initiative will contribute to develop knowledge and technological solutions that foster improved health and counteract diseases.