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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt GmbH
Christian Matek, born in 1986, received undergraduate degrees in both Physics and Medicine in Munich. He then moved to the UK and finished his DPhil in Theoretical Physics at Oxford University in 2014. Since 2017, his main research interest has been applying artificial intelligence and machine learning techniques in medical diagnostics. In 2020, Christian Matek finished a medical doctorate in that field in a joint project of the Helmholtz Zentrum München and the Department of Medicine III at the University Hospital of the Ludwig-Maximilians-Universität (LMU) München, Munich.
Activities
Christian Matek is currently a postdoctoral researcher at the Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany.
Awards
The project was supported by the German José Carreras Leukaemia Foundation (Deutsche José Carreras Leukämie-Stiftung) and the German Research Foundation (DFG) through SFB 1243.
Focus
Christian Matek’s research interests focus on applying novel computational methods to medical diagnostics, currently mainly in the diagnosis of leukemia.
Methods
For a long time, doctors have been diagnosing disorders of the body’s hematopoietic system using a light microscope. The analysis of individual blood cells is largely performed manually. (…)
Fighting blood diseases with artificial intelligence
How can we better diagnose blood diseases? A research group led by Helmholtz Munich aims to answer this question with artificial intelligence (AI). Their goal is to facilitate the time-consuming analysis of bone marrow cells under the microscope. The researchers developed the largest open-s ... more
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 personali ... more
Pancreatic organoids on newly developed chip platform
A new organoid-on-chip platform robustly mimics the key features of human pancreas development. This is a milestone on the way to being able to diagnose pancreatic cancer at an early stage in the future. The study was conducted by an interdisciplinary team of researchers from Helmholtz Zent ... more
Using deep learning to better understand blood disorders
For a long time, doctors have been diagnosing disorders of the body’s hematopoietic system using a light microscope. The analysis of individual blood cells is largely performed manually. Now, artificial intelligence can lend them a digital hand. more
Carsten Marr, born in 1977, received his diploma in general physics from the Technische Universität München in 2002. He wrote his diploma thesis at the Max-Planck-Institute for Quantum Optics, Garching, Germany, and in 2003 visited the Quantum Information and Quantum Optics Theory Group at ... more
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