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AI methods for precision therapies

Developing AI methods for heterogeneity-aware precision therapies.

Overview

Our hope is that building tumor ecosystem representations and understanding the associated heterogeneity will allow us to predict disease progression and treatment response.

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PROMETEX: metabolically-instructed therapy selection for prostate cancer

Together with Prof. Marianna Kruithof-de Julio from the Urogenus lab of the University of Bern and Prof. Theodore Alexandrov, Team Leader at EMBL Heidelberg, we are working on combining patient-derived organoids with single-cell metabolomics towards developing metabolically-instructed personalized prostate cancer therapies. Our project PROMETEX was recently awarded a Sinergia grant from the Swiss National Science Foundation.

Contributors

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