Passionate about AI in Health

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…

A study led by Lara Urban, Principal Investigator at Helmholtz AI and the Pioneer Campus at Helmholtz Munich and TUM Junior Fellow at the Technical University of Munich (TUM), has revealed a novel method for detecting hidden antibiotic resistance,…

Researchers around Prof. Fabian Theis from Helmholtz Munich and the Technical University of Munich (TUM), have developed CellRank 2, a new tool that promises to transform the way scientists study cells. This new method significantly improves our…

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

Prof. Dr. Dr. Fabian Theis, Head of the Computational Health Center at Helmholtz Munich and Chair of the Mathematical Modeling of Biological Systems at the Technical University of Munich, has been awarded a two-year grant of $400,000 for the project…

For newcomers to the field of single-cell analysis as well as for experts, scientists led by Fabian Theis, Head of the Computational Health Center at Helmholtz Munich and Professor at the Technical University of Munich (TUM), developed best practice…

The technological progress for single-cell research resulted in an increasing amount of data, accordingly big data has become one of the central parts in medical research. “Omics” technologies do not just rely on large scale molecular datasets but…

Artificial Intelligence (AI) offers various opportunities in medical research, but the use of patient data frequently raises privacy concerns. In a recent position paper, Dr. Carsten Marr, a scientist at Helmholtz Munich, and other authors address…

A team led by Helmholtz Munich scientist Dr. Grzegorz Popowicz unveils the Molecular Interactions Structurally Optimized (MISATO) dataset, offering a transformative approach to training AI models for designing new drug molecules. MISATO represents a…

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

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…

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.

A collaborative endeavor between computer scientists and diabetes researchers at Helmholtz Munich has yielded novel insights into the mechanisms underlying type 1 and type 2 diabetes. This collaboration has resulted in the creation of the first mouse…

Researchers from Helmholtz Munich have reached a significant milestone in precision medicine with their new publication on the 'Oncology Biomarker Discovery (OncoBird)' framework. This innovative approach aims to systematically identify actionable…

Human health is closely connected to the health of our environment. So far, the complex ways in which they influence each other are not fully understood. The concept of One Health recognizes this interconnectedness of human, animal, and environmental…

Predicting the effects of drugs regarding dosage, timing, possible drug combinations and other types of intervention such as gene knockouts can be experimentally difficult and very time-consuming. Nonetheless, this is one of the most important tasks…

Changes in small blood vessels are a common consequence of diabetes development. Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have now developed a method that can be used to measure these microvascular changes in the…

To mechanistically understand the root causes of lung disease, and identify drugs that target specific pathways, the scientists around Prof. Herbert Schiller and Dr. Gerald Burgstaller from Helmholtz Munich are collecting deep molecular insights from…

Pediatricians and computer scientists join forces at the Helmholtz Munich Institute for Diabetes Research to identify children with type 1 diabetes before they develop symptoms. With the help of advanced statistics and machine learning, the…

Our health and the environment around us are profoundly intertwined. But how do air pollution and other environmental factors interact with each other and determine our health for each individual and the neighborhood? Furthermore, how can artificial…

Researchers at Helmholtz Munich and the Technical University of Munich have made significant progress in advancing high-resolution optoacoustic imaging for clinical use. Their innovative deep-learning framework, known as DeepMB, holds great promise…

Colorectal cancer (CRC) ranks second in leading causes of cancer-related deaths globally, according to the WHO. For the first time, researchers from Helmholtz Munich and the University of Technology Dresden (TU Dresden) show that artificial…

Researchers developed a new method called wildDISCO that uses standard antibodies to map the entire body of an animal using fluorescent markers. This revolutionary technique provides detailed 3D maps of structures, shedding new light on complex…