What we do

The primary research interest of our group lies at the intersection of machine learning and medicine. We work on advancing and developing novel machine learning techniques for precision medicine, the life sciences and clinical data analysis. The field of action comprises many areas such as prediction of response to treatment in personalized medicine, (sparse) biomarker detection, tumor classification or the understanding of interactions between genes or groups of genes. We approach these challenges data and problem driven. In close collaboration with physicians we identify gaps where current technologies fail and develop tailored solutions.

Find out about the Group’s activities


University basel

Julia Vogt
Adaptive Systems and Medical Data Science
ETH Zurich
Group webpage

Domains of activity:

  • Text mining and machine learning
  • Machine learning

Domain of application:

  • Medicine and health