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