We use cutting-edge multimodal and metabolic imaging to understand human pathology, guide cancer therapies, and engineer the next generation of functional biosensors.
Cell metabolism plays a fundamental role in nutrient uptake and oxidation across tissues. Our team develops highly translatable molecular and metabolic imaging approaches to determine the role of metabolism in cancer, diabetes, stroke, and other diseases in vivo.
Our research is multidisciplinary, placed at the intersection of oncology, biomedical imaging, biophysics, biochemistry, and chemistry. We also develop the next generation of non-invasive hybrid metabolic sensors for biomedical imaging.
We use a clinical SpinLab™ DNP hyperpolarizer — unique in Germany — for real-time metabolic imaging. Our HyperPET system combines hyperpolarized MRI and PET to assess perfusion, metabolism, cellularity, and therapy response in a single session.
We address tumour heterogeneity and aggressiveness with hybrid PET/MRI sensors, machine learning, and quantitative functional imaging to personalise cancer diagnostics and reveal new metabolic biomarkers — including pH, metals, and ROS.
We design "smart" responsive multimodal sensors — combining radiochemistry expertise with hybrid PET/MRI — to detect enzymatic activity, temperature, metal ion concentrations, oxygen pressure, and reactive species with high spatial and temporal resolution.
Perturbed metal homeostasis (zinc, copper, manganese) is linked to cancer and metabolic disease. Using synchrotron XRF, MRI, and PET/MRI, we map whole-body metal fluxes in prostate, breast, pancreatic cancers, and hepatocellular carcinomas.
André studied Biochemistry at the University of Coimbra, Portugal, and earned his joint Ph.D. in Chemistry and Biochemistry from Coimbra and CNRS/University of Orléans, France, in 2013. He then joined Prof. A. D. Sherry's lab at UT Dallas and UT Southwestern Medical Center as a Research Associate, deepening his expertise in MRI responsive sensors and molecular imaging. In 2019 he became Research Group Leader at the University Hospital Tübingen, and in 2022 was appointed W3 Full Professor at the Faculty of Medicine. He is a member of the Cluster of Excellence iFIT (EXC2180).
* co-first authors · § co-senior authors · bold = corresponding author · OA = open access
Werner Siemens Imaging Center
Röntgenweg 13, 72076 Tübingen
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