Computational Health Center

A team of computational biologists from Helmholtz Munich has been honored with the "Frontiers of Science" award at the International Congress of Basic Science (ICBS) in Beijing. Researchers Fabian Theis, Alexander Wolf, and Philipp Angerer received…

Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called “ehrapy” enables researchers to structure and systematically…

SPACETIME, a consortium project involving Helmholtz Munich and coordinated by VU University Medical Center Amsterdam (VUMC), has received a 12 million euro grant from the EU Mission on Cancer call. Over the next five years, 15 partners across seven…

In this interview, Dr. Vincent Fortuin explains their new approach for reliable AI.

The "Bavarian AI Council," established by the Bavarian State Government, met on June 7, 2024, at Helmholtz Munich. The host was Prof. Fabian Theis, Director of the Computational Health Center at Helmholtz Munich and Co-Chair of the AI Council for…

An Interview with Dr. Eric Schulz about Foundation Models and Machine Psychology.

A Synergy Unit, in which Helmholtz Munich is involved, will develop, deploy, and connect foundation models.

In a new collaboration, the Computational Health Center at Helmholtz Munich has teamed up with the global pharmaceutical company Pfizer. The joint initiative, spanning three years, aims to leverage Pfizer's vast knowledge and accumulated data in…

An interview with Prof. Fabian Theis, Head of the Computational Health Center, and Prof. Bjoern Eskofier, Group Leader for Translational Digital Health. The researchers hosted the first Munich Health Foundation Model Symposium on April 10, 2024, at…

Helmholtz Munich is bringing together a wide range of experts to advance the development of foundation models focused on health research. The Munich Health Foundation Model Symposium, to be held on April 10, 2024, at the Helmholtz Munich Campus, aims…

Prof. Zeynep Akata has been heading the newly founded Institute for Explainable Machine Learning since January 2024. Her research focuses on developing explainable machine learning models for vision and language tasks. From building an institute from…

Prof. Eleftheria Zeggini about equity, diversity and inclusion in science

The genetic information in our cells harbors secrets about the risks, progression, and complications of many diseases. With hundreds of millions of patients worldwide, identifying and understanding genetic risk for type 2 diabetes is of particular…

Therapeutic antibodies play a crucial role in treating diseases by modifying immune cells. Scientists from the Institute of AI for Health at Helmholtz Munich in collaboration with Roche present an open-source framework for comprehensive antibody…

Helmholtz Munich organized its first "Expert Hour" in the German Bundestag. With this new event format, Helmholtz Munich will regularly provide information on politically relevant health and research topics in the future and support work in the…

The application of artificial intelligence methods for the generation of antimicrobial peptides will be the subject of research in the Deep Optimised Generation of AntiMicrobial Peptide (DOG-AMP) project. The project will be carried out by Prof. Ewa…

The first "Munich for Women in Science" event is dedicated to inspiring positive change for Women in Science. The event will be hosted by Helmholtz Munich and has been organized in collaboration with the Technical University Munich (TUM), the…

The Human Cell Atlas (HCA) promises insights into ourselves, unraveling our cellular landscape.

The European Research Council (ERC) today awarded 37 particularly well-funded Synergy Grants across Europe. One of these interdisciplinary research awards went to Julien Gagneur, Group Leader at Helmholtz Munich and Professor of Computational…

Artificial Intelligence (AI) is becoming increasingly crucial in medical research, and Helmholtz Munich is one of the world's leading institutions in this field. It can detect tumors as effectively as severe eye diseases.