Summary The University of Zurich together with the University Hospital of Zurich are embarking on a concerted effort to develop informatics programs to advance biomedical research and healthcare using cutting edge computational approaches. As part of these efforts, the Chair of Medical Informatics (https://krauthammerlab.ch) investigates topics in clinical data science and translational bioinformatics, such as knowledge discovery from Big Data sources (Electronic Medical Records, health registries) as well as the analysis of human Omics data.
The LOOP Zurich is a medical center for translational research and precision medicine. It focuses on new approaches, better diagnostics, and novel therapies that will benefit patients and society as a whole. The goal is to enhance personalized healthcare by efficiently transferring scientific knowledge into medical practice.
As part of its strategy, The LOOP Zurich is developing an IT research platform (“LOOP BMIP Data Platform”) between the major Zurich hospitals and academic partners (University of Zurich and ETHZ) of strategic importance to the Zurich medical research ecosystem.
We are currently looking for Master students interested to work on projects at the intersection of machine learning and medicine.
Machine-Learning for the Identification of Cost-effective Clinical Pathways Do you want to combine state-of-the-art machine learning (ML) algorithms with the pressing societal problem of high (and rising) healthcare costs? Are you motivated to work with interesting real-world data and excited to implement and apply machine learning algorithms?
High and rising healthcare costs are a significant challenge in many developed countries, which is expected to intensify with the demographic changes that will accelerate over the next decades.