Artificial Intelligence

It takes great patience and perseverance to turn research findings into new technologies or therapies. The Helmholtz Initiative and Networking Fund gives financial support to “pathfinder projects” that are particularly promising. Researchers at the Max Delbrück Center have now won grants for three projects.

The pianist SooJin Anjou and the scientist Nikolaus Rajewsky are both experts in their respective fields. Together, they have created the event series “Spark”: a concert and meet-up for creative people, an exploration to learn from both sides. On March 13th, the series continued at MDC-BIMSB.

Combining single-cell data with a self-learning algorithm reveals how structural changes in chromosomes can trigger cancer. This new method could pave the way for personalized cancer treatments, writes a team led by Ashley Sanders in “Nature Biotechnology”.

The Image Data Analysis Platform has a new leader in Deborah Schmidt. She and her team create software that processes and analyzes image data from biomedicine, material sciences, or environmental research – something that benefits the entire Helmholtz Association.

As part of the IMMEDIATE project, a team led by ECRC researcher Friedemann Paul is investigating inflammatory precursors of diseases – and how nutrition and the gut microbiome influence the immune system. The project is receiving more than €7 million in EU funding.

Dagmar Kainmüller develops computational methods for analyzing vast quantities of image data. On October 1, 2022, she was named Professor of Integrative Imaging Data Sciences at the University of Potsdam.

Cardiomyopathy is not a uniform disease. Rather, individual genetic defects lead to heart failure in different ways, an international consortium reports in “Science”. MDC researcher Norbert Hübner is one of the senior authors.

How do cancer cells differ from healthy cells? A new machine learning algorithm called “ikarus” knows the answer, reports a team led by MDC bioinformatician Altuna Akalin in the journal "Genome Biology". The AI program has found a gene signature characteristic of tumors.

Biomedicine today is awash with images and the tide is rising. Dagmar Kainmüller is teaching computers to see so that they can help with analyzing the image data. In the process, artificial intelligence is throwing up some unexpected questions that are opening up new lines of research in molecular biology.

Artificial intelligence is poised to fundamentally change healthcare. To find out the current state of research and the challenges that lie ahead, anyone interested can attend the first symposium of the Artificial Intelligence in Digital Health (AIDHeal) Network on January 28, 2022.