Cancer imaging
Cancer is a global health challenge. Timely and accurate detection and diagnosis, together with effective therapy monitoring are essential in the fight against cancer. Based on the established link between cancer and the formation of (neo)vessels to support tumor growth (angiogenesis), several imaging modality have been developed to detect early angiogenic changes. Non-invasive, radiation-free ultrasound and MRI imaging are particularly interesting for angiogenesis imaging. However, mostly qualitative assessment is currently performed in the clinical routine, possibly missing important information hidden in these rich spatio-temporal imaging sets. In this line of research, we develop methods for quantification of MRI and US imaging, and extraction of effective cancer biomarkers. I strive to combine model-driven and data-driven approaches to obtain interpretable, physics-based biomarkers for improving cancer diagnostics.
Patient monitoring in perioperative care involves the continuous observation and assessment of individuals before, during, and after surgical procedures. This comprehensive monitoring is crucial to ensure the patient’s safety, well-being, and optimal recovery. Throughout the perioperative period, various vital signs and parameters are closely observed, including heart rate, blood pressure, oxygen saturation, respiratory rate, and body temperature. A crucial aspect of patient monitoring in perioperative care involves the implementation of systems for predicting and detecting signs of patient deterioration. Early identification of potential issues allows for prompt intervention and can significantly improve patient outcomes.