Axel Kowald

With aging comes cellular senescence, and (multi-)morbidity. Cellular senescence is a key driver of an interconnected disease network including cancer and stroke. We wish to utilize systems modeling and bioinformatics, learning from omics and other lab data, to design and develop a biomarker + software kit with a focus on measuring and interpreting senescence-related signatures for precise (and early) diagnosis, prognosis, and, ultimately, therapy, of pancreatic cancer and ischemic stroke/thromboembolism. ...