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…
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