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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. (…)
New drug combination restores beta cell function in animal model
The loss of the identity of insulin-secreting beta cells in the islet of Langerhans, a process also called beta cell dedifferentiation, has been proposed to be a main reason for the development of diabetes. If and how dedifferentiated beta cells can be targeted by pharmacological interventi ... more
Unlimited potential: New ways to generate totipotent-like cells
Totipotency is set to become a key tool for research and future medical applications. Finding efficient ways to generate totipotent-like cells is therefore crucial. In a new study, a group of researchers at Helmholtz Zentrum München found that totipotent-like cells can be induced by manipul ... more
Looking at the good vibes of molecules: a new method for label-free metabolic imaging
Label-free dynamic detection of biomolecules is a major challenge in live-cell microscopy. The simultaneous visualization of dynamic alterations for classes of metabolites, such as carbohydrates and lipids, was an unmet need in biomedical research. Now, a novel imaging method developed by a ... 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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