Helmholtz Munich

Artificial intelligence (AI) is not limited to creating visuals or answering simple questions. It has the exceptional potential to improve human health: Advanced data analysis and machine learning methods developed by our experts are revolutionizing medical research, enabling early disease detection, personalized medicine, and improved patient outcomes. Helmholtz Munich is a leading organization in pioneering leading new ways to enhance people’s health by using AI.

On this page, you find selected news and projects related to AI in health at Helmholtz Munich. Discover what this future technology can achieve for human health!

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The Human Cell Atlas Project powered by AI

What the Human Cell Atlas (HCA) will tell us about ourselves and how scientists at Helmholtz Munich are facilitating this revolutionizing global endeavor.

Using AI to Combat Diseases

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.

Shot of corridor in working data center filled with rack servers and supercomputers AI background

How AI is Revolutionizing Medicine

Computer systems can already independently analyze health data, learn from it and even derive therapy recommendations. Which opportunities this means for patients and what research needs to apply artificial intelligence in practice.einzusetzen.

Doctor using ultrasound equipment screening of pregnant woman.

AI Transforms Blood Disease Diagnosis

In the future, blood samples from patients can be evaluated not only by specialists, but also by artificial intelligence. A team from Helmholtz Munich is laying the foundations for this.

AI in Health - News

RSOM-Aufnahmen von Haut eines gesunden Probanden (links), eines Patienten mit Diabetes (mitte) und eines Patienten mit Diabetes und Neuropathie (rechts).

New Research Findings, Bioengineering, IBMI, December 11, 2023

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…

Pulmonary capillary network in human precision cut lung slices (hPCLS)

New Research Findings, Environmental Health, LHI, December 06, 2023

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…

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New Research Findings, Diabetes, IDF, November 14, 2023

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…

Transfer, Environmental Health, EPI, October 05, 2023

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…

New Research Findings, Computational Health, Bioengineering, IBMI, October 02, 2023

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…

AI-based Image Analysis for Biomarker Prediction

New Research Findings, AIH, August 31, 2023

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…

Whole-body map of the mouse nervous system

New Research Findings, Bioengineering, ITERM, July 10, 2023

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…

Abstract human body with molecules DNA | Without Text

Computer scientists at Helmholtz Munich developed a generative model named scPoli (single-cell population level integration), that enables multi-scale representations of cells and samples. The model performs data integration of high-quality large-scale datasets of single cells to create valuable single-cell reference maps of the human body, so-called single-cell atlases, for medical research.

Can a human organ be mapped on a single-cell level to learn about the functionality of each individual cell? And can we learn how different these cells are from person to person? Researchers have taken up this challenge and developed the Human Lung Cell Atlas using artificial intelligence (AI)-based techniques.

Unlike other forms of blood cancer, acute myeloid leukemia (AML) cannot currently be treated with CAR-T cell immunotherapy. The reason is that specific molecular targets with which certain immune cells could specifically target AML cells are lacking. Researchers have now succeeded in discovering such targets.

Predicted retinal thickness on funuds image

Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient. Reducing the amount of expensive annotated image data that is required for the training of the algorithm, the method is attractive for clinics.

Researchers developed a novel artificial intelligence algorithm for clinical applications called “scArches”. It efficiently compares patients’ cells with a reference atlas of cells of healthy individuals. This enables physicians to pinpoint cells in disease and prioritize them for personalized treatment in each patient.

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…

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…

Featured Publication, ICB, May 31, 2023

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…

Passionate about AI in Health

On this page, you find selected news and projects related to AI in health at Helmholtz Munich. Discover what this future technology can achieve for human health!

AI in Health - Highlight Stories

The Human Cell Atlas Project powered by AI

Using AI to Combat Diseases

How AI is Revolutionizing Medicine

AI Transforms Blood Disease Diagnosis

AI in Health - News

Examining Diabetes with a Skin Scanner and AI

Accelerating Drug Development for Lung Diseases: New Insights from Single-Cell Genomics

Developing Algorithms to Predict Type 1 Diabetes in Children

Noise2NAKOAI: What AI and Machine Learning Tell Us About the Link Between Environment and Human Health

DeepMB: A Deep Learning Framework For High-Quality Optoacoustic Imaging in Real-Time

AI Predictions for Colorectal Cancer: One Step Closer to Efficient Precision Oncology

WildDISCO: Visualizing Whole Bodies in Unprecedented Detail

Interpreting Large-Scale Medical Datasets

First Integrated Single-Cell Atlas of the Human Lung

New targets for CAR-T cell therapy against acute myeloid leukemia through AI-assisted analysis

“I Can See It in Your Eyes”: Novel Deep Learning Method Enables Clinic-Ready Automated Screening for Diabetes-Related Eye Disease

AI Helps to Spot Single Diseased Cells

The Power of Machine Learning Unravels Immune System Interactions

Understanding Diabetes: Single-Cell Atlas Leverages Machine Learning to Decipher Diabetes at the Molecular Level

Computational Breakthrough in Precision Medicine for Cancer Treatment

Understanding the Connection Between Human and Environmental Health Using Real-Time Genomics

Computational Prediction of Single-Cell Perturbations

Our Institutes & Partners

Computational Health Center

AI for Health

Institute of Machine Learning in Biomedical Imaging

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