Jim Jakobsson

Master's thesis at the Department of Medical Epidemiology and Biostatistics, focused on utilizing machine learning techniques to analyze data from the Swedish Adoption/Twin Study of Aging (SATSA) cohort. The project involves creating predictive models that combine biomarkers, health variables, and environmental factors to evaluate mortality risk. The goal is to identify determinants of mortality, which could guide strategies to alleviate the negative impacts of aging. This research aims to derive valuable insights from the longitudinal data to improve understanding of aging processes and associated mortality risks.

Overview of the SATSA Cohort

The Swedish Adoption/Twin Study of Aging (SATSA) is a comprehensive research initiative designed to investigate the effects of genetics and environment on aging. It includes a diverse group of twins and adoptees, allowing for unique comparisons between genetically identical individuals. This cohort provides rich longitudinal data, enabling researchers to explore various aspects of aging, including cognitive function, health outcomes, and mortality. By leveraging this data, the current project seeks to uncover significant factors influencing mortality risk and contribute to broader knowledge in the field of aging research.

More information on SATSA: SATSA - The Swedish Adoption/Twin Study of Aging | Karolinska Institutet