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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. (…)
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
Revealing the secrets of cell competition
Cellular competition is a crucial quality control process that ensures that the development of an organism relies on healthy cells. Researchers revealed the secrets underlying cell competition and what features can pre-determine whether a cell will survive or not. Defects in energy producti ... more
The Cut and Restore Protein Trick: Self-Excising Designer Proteins Report Isoform Expression
Our proteome is much bigger than our genome because one gene produces several variants of proteins called protein isoforms, whose disbalance is implicated in many diseases. A new bioengineered reporter system developed at Helmholtz Zentrum München and the Technical University of Munich now ... 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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