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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. (…)
Node-centric expression models (NCEMs): Graph-neural networks reveal communication between cells
How do single cells communicate in a tissue? How can these interactions be modeled, while retaining information of spatial context? Researchers around Fabian Theis from Helmholtz Munich Computational Health Center and Technical University of Munich (TUM) have generated a new method to repre ... more
How tiny changes help T cells survive
The chemical modification of nucleic acids, known as methylation, exists not only on DNA but also on RNA. So far, it is still unclear whether this methylation is important for certain cell types and what effects it has on the interaction of cells in the body. The most abundant modification ... more
The oat genome unlocks the unique health benefits of oats
Researchers have succeeded in sequencing and characterizing the entire genome of oat. Compared to other cereals and humans, the oat genome architecture is very complex. Scientists from Helmholtz Munich, Lund University and the ScanOats network finally elucidated at the genetic level why oat ... 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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