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Artifical Intelligence
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Passionate about AI in Health

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.

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!

AI in Health - News

Abstract human body with molecules DNA | Without Text
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Interpreting Large-Scale Medical Datasets

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.

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discovAIR | Rense Buijvoets, Sensu Productions

First Integrated Single-Cell Atlas of the Human Lung

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.

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

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.

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Helmholtz Zentrum München | Fabian Theis

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

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.

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© Helmholtz Zentrum München / Mohammad Lotfollahi

AI Helps to Spot Single Diseased Cells

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.

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