Combining lab and digital technologies to fight diseases
Quantitative Biomedicine develops new laboratory and digital technologies to analyze patient samples and data to better understand diseases. The knowledge gained is used, for example, to fight cancer, infectious diseases and amyotrophic lateral sclerosis.
Computational models can help to understand complex biological systems and diseases. At the Department of Quantitative Biomedicine at the University of Zurich, experts from various fields use state-of-the-art laboratory techniques and artificial intelligence to analyze information about the human body. As a result, we gain a deeper understanding of how the body functions and how diseases emerge and develop – to the benefit of human health.
For instance, we combine novel laboratory and microscopy techniques with computational tools to study patient samples such as cancer tissue with experimental disease models in cell cultures. We also develop, improve and use artificial intelligence methods to study diseases. For example, we analyze patient data using machine learning or use computer vision to interpret and process clinical images.
From the data obtained in this way, we can create models that help physicians provide treatments that are better suited to their patients and thus achieve better outcomes. Learn about the methods hands-on at Scientifica and ask the researchers about the possibilities of Quantitative Biomedicine.
