D-INFK news channel

Monitoring and treating a case of multiple sclerosis requires reliable and long-​term data on how the disease is progressing in the person in question. Fitness trackers and smartphones can supply this data, as a research team led by ETH Zurich has now shown.

Experts from ETH Zurich including Professor Gunnar Rätsch, the University of Zurich, and the University Hospital Zurich have used machine learning to jointly create an innovative method. This new approach can predict how individual cells react to specific treatments, offering hope for more accurate diagnoses and therapeutics.

What does a life scientist do at the Department of Computer Science? Martina Baumann is a science coordinator and supports her group in setting up complex research projects with sensitive medical data, among other things. She is an expert at mediating between internal and external bodies

The mTORUS project, funded by The LOOP Zurich, will use AI to explore novel treatments for urinary tract infections. Professor Gunnar Rätsch and Senior Scientist Andre Kahles from the Biomedical Informatics Lab are among the researchers involved.

Manuela Fischer, Maciej Besta and Francesco Locatello, three doctoral students from the Department of Computer Science, have won the ETH Medal for their outstanding doctoral theses.

Two research teams from ETH Zurich, led by Gunnar Rätsch and Karsten Borgwardt, won the 2021 SIB Bioinformatics Graduate Paper Award. Their paper is about predicting circulatory failure in the intensive care with the aid of machine learning. Congratulations!

Researchers from the Biomedical Informatics Lab at ETH Zurich have participated in an international study to analyse the microbes in the air and on the surfaces of 60 cities, including Zurich. Their findings could help develop new drug therapies and learn more about evolution.

As part of a clinical study involving patients from the University Hospitals in Zurich and Basel, researchers are conducting a thorough and highly precise investigation into the molecular and functional properties of tumours. D-INFK Professor Gunnar Rätsch contributed biomedical informatics expertise to the project.

To better track the coronavirus in Switzerland, biomedical informatics specialists from ETH Zurich and the canton of Bern have combined their online questionnaires on the shared platform covidtracker.ch.

The research group of Prof. Gunnar Rätsch wants to track the spread of coronavirus in Switzerland using a short questionnaire. Every person currently living in Switzerland can participate.

Prof. Gunnar Rätsch co-led the effort to develop a method to predict circulatory failure in patients in intensive care using machine learning.

Die genetischen Ursachen von Krebs sind noch vielfältiger als bisher wissenschaftlich belegt, sagt Prof. Gunnar Rätsch sowie Forschende der ETH Zürich und des Universitätspitals im Rahmen des Pan-​Cancer-Projekts.

Researchers from the Max Planck ETH Center for Learning Systems and Google Research Zurich received the Best Paper Award at the International Conference on Machine Learning (ICML).

Doctoral student Francesco Locatello has received the Google PhD Fellowship. With this fellowship, Google acknowledges his contributions to foundations of optimization algorithms and provides funding for his education and research.

Professor Gunnar Rätsch played a major part in creating the biggest public database for anonymised information on two important breast cancer genes. The database helps to improve the treatment of patients.

When scientists at ETH Zurich, led by Professor Gunnar Rätsch, analysed huge amounts of genetic cancer data, they found previously unresearched molecular changes. These could help in developing new personalised cancer treatments.

Genomics, digital patient files and real-​time health surveillance – never before have we had access to so much health data. Three ETH researchers, including Professor Gunnar Rätsch, explain how they extract relevant information from this sea of data and the potential benefits for personalised medicine.

Gunnar Rätsch joined the Computer Science Department as a Full Professor of Biomedical Informatics in May 2016. Prior to accepting this position, he was conducting research at the Memorial Sloan Kettering Cancer Center in New York City, NY, USA. Professor Rätsch develops machine learning algorithms for the analysis of biological and medical data. His research will be central in ETH Zurich's initiative for personalized medicine.