About MLID Research Group

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Viruses require host cells to procreate and spread their progeny. For this, they enter cells, replicate and egress in a stepwise process occurring through interactions between molecules of the host cell and the pathogen molecules. These are known as host-pathogen interactions, they include various host mechanisms exploitations by the pathogen. Synchronized with virus entry, uncoating, and replication through a virus genetic program, virus induce dramatic changes of cell morphology. These may be observed in cell culture using light microscopy techniques at a moderate magnification. However, connecting the dynamics of host-pathogens interactions at cellular and tissue levels requires advanced simulations.

Recent advances in Machine Learning (ML) and Deep Learning (DL) are revolutionizing our abilities to analyze biomedical images and deepen our understanding of infection and disease. Among other host-pathogen interactions may be readily deciphered from microscopy data using convolutional neural networks. We work on developing the latest ML/DL and Computer Science methods to facilitate our understanding of Infection Biology and Disease Biology. This includes biomedical image analysis, generative modelling, as well as simulation of biological processes.

MLID group is a Young Investigator Group based in the Center for Advanced Systems Understanding (CASUS) of the Helmholtz-Zentrum Dresden-Rossendorf. We are based in the beautiful German city of Görlitz in Germany. MLID is led by Artur Yakimovich, PhD.
image source: Wikipedia

Join us and this could be your walk to work!

You can contact Dr. Artur Yakimovich via following email
a.yakimovich (at) hzdr.de