MLCB news

The "grand finale" of our Innovative Training Network on "Machine Learning Frontiers in Precision Medicine" is taking place in person at the Max Planck Institute of Psychiatry in Munich on October 18 and 19, 2022.

On September 23, 2022, Max defended his excellent PhD thesis entitled "Representation Learning for Dimensionality Reduction, Irregularly-Sampled Sequences and Graphs".

The project "Personalized, data-driven prediction and assessment of infection-related outcomes in Swiss ICUs (IICU)", led by Karsten Borgwardt (ETHZ) and Adrian Egli (University Hospital Basel), has been selected as National Data Stream. SPHN and PHRT will jointly fund the project with 5 mio. CHF.

In their latest publication, Caroline, Karsten and their collaborators from the University Hospital Basel developed Machine Learning methods for MALDI-TOF mass spectrometry data to detect antibiotic resistance. This work has now been published in Nature Medicine.

Catherine Jutzeler-Walter joins the Department of Health Sciences and Technology of ETH as assistant professor.

On December 14, Michael defended his excellent PhD thesis entitled "Machine Learning on Clinical Time Series: Classification and Representation Learning".

On December 14, Caroline Weis spleditly defended her PhD thesis "MALDI-TOF mass spectrometry based clinical antimicrobial resistance prediction using machine learning".

On December 13, Thomas Gumbsch defended his excellent PhD thesis entitled "Longitudinal pattern mining for the intensive care unit".