Beschreibung
Cardiovascular biomolecules contain quantifiable information about pathophysiologic processes and are thus frequently used in modern medicine. However, the magnitude of targets, their biological collinearity and their time-dependent variation constitute challenges for conventional statistical models, so that new mathematical and computational solutions are needed.
Within our Cross-Disciplinary Lab we aim to create an interdisciplinary sandpit, where researchers from experimental and computational biology develop and test ideas together to push the boundaries of biomolecule research and to advance our understanding of cardiovascular diseases. We work with the unique dataset that includes biomolecule data from 3 clinical trials involving >5.000 patients and predict incident/worsening heart failure in atrial fibrillation patients, ultimately identifying those with the highest need and largest benefit from earlier therapy.
Keywords
CDL
biomolecules
atrial fibrillation
heart failure
