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Diagnostic approaches, genomic insights and treatment concepts of patients suffering from sudden cardiac death in absence of a structural heart disease are limited in Germany. In the present project we aim to study the clinical characteristics, genetic background, and the underlying pathomechanisms of this cohort. Using human cardiomyocytes generated from patient specific induced pluripotent stem cells and in vivo models we aim to understand the pathomechanisms of the underlying diseases and the functional background of several gene variants.

The research group of PD Dr. Daniel Paech focuses on the development and clinical translation of novel imaging biomarkers for diagnostic neuro-oncology.  The project aims at improved characterization of tumor tissues in the human brain by using new magnetic resonance imaging (MRI) techniques in combination with artificial intelligence (AI) analysis methods. Furthermore, this work could aid early therapy response assessment in patients with brain tumors.

Due to enormous medical progress, more and more patients can be healed from cancer. Unfortunately, cancer therapies often lead to severe late effects that can be associated with a pre-aged phenotype. However, we know little about the underlying cellular processes. In our project we aim to determine various measures of aging in the blood cells of young and middle-aged cancer patients and cancer survivors. Results will be linked to clinical and patient reported quality of life data.

Project partner: Prof. Joachim Lotz (Universitätsmedizin Göttingen)
 

Blood clots are a common cause of mortality and morbidity worldwide. A definitive identification of blood clot origin -specifically differentiating arterial from venous clots- is pivotal for launching effective measures of secondary prevention. Yet, the origin of blood clots often remains unclear. Currently, diagnostic approaches that seek identification of the embolic origin are mainly based on clinical probabilities.