Forschungsgruppe-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 (Figure 1)
- Development of algorithms and machine learning tools for in vivo red blood cell tracking (Figure 2)
- 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 (Figure 3)

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

Members

Dr. med. Matthias P Hilty
Intensivist, Researcher

Pedro D Wendel Garcia, MSc

Researcher

 

Eva-Maria Kleinert

Study nurse

 

Figure 1FIG-1.jpg

Figure 2
FIG-2.jpg

Figure 3:
FIG-3.jpg

Publications

https://www.zotero.org/matthias.hilty/cv




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