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Institut für Intensivmedizin
Forschung
Forschungsgruppe PD Dr. med. Matthias Hilty
Forschungsgruppe PD Dr. med. Matthias Hilty
Aims
Real-time, in vivo quantification of the determinants of oxygen delivery and extraction in the tissue
Identification and targeting of microcirculatory dysfunction in critically ill patients
Development of algorithms and machine learning tools for in vivo red blood cell tracking
Linking the understanding of physiological processes with the advantages of big data analysis in large databases
Elucidate the effect of extracorporeal life support (ECCO2R, ECMO) on gas exchange and tissue perfusion
Understand the adaptation processes of the microcirculation to hypoxia
Methodology
In-vivo dark field microscopy of the sublingual, skeletal muscle and intestinal microcirculation
Development and application of advanced computer vision and machine learning techniques for red blood cell tracking through dark field microscopy
Modern statistical and computational methodologies are applied to clinical studies, database applications and image sequences
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