Stress Imaging in Nuclear Medicine
Stress Imaging in Nuclear Medicine
Can chronic stress be measured with FDG-PET. We are interested in the question whether this could help to predict immune status, therapy response and survival.
We are building a translational project that links stress-associated brain activity with tumor biology, immune function and clinical outcome. The project combines quantitative PET imaging, AI, biostatistics, network science and preclinical validation.
We are looking for motivated students, interested in imaging, medicine, biology, data science, statistics or network science.
Join us if you want to work at the interface of nuclear medicine, stress biology and outcome prediction.
Emails to: barbara.geist@meduniwien.ac.at
SGLT2 Inhibition and Cardiac Metabolism
SGLT2 Inhibition and Cardiac Metabolism
How do SGLT2 inhibitors change cardiac metabolism, and are these effects part of their cardioprotective mechanism?
We are investigating how SGLT2 inhibition reprograms the heart using mouse and human PET data, metabolic imaging, histology, proteomics and whole-body network analysis. The project aims to understand whether changes in cardiac glucose metabolism are direct cardiac effects, systemic metabolic adaptations, or linked to alternative energy substrates such as ketone bodies.
We are looking for motivated students, interested in imaging, nuclear medicine, cardiometabolic research, biology, data science, statistics or network science.
Join us if you want to work at the interface of molecular imaging, cardiac metabolism and translational systems medicine.
Emails to: barbara.geist@meduniwien.ac.at
Nuclear Medicine Networks
Nuclear Medicine Networks
Can FDG-PET be used to see the body as a metabolic network and to detect disease-related reorganization?
We are developing robust whole-body network methods for nuclear medicine imaging. The project uses organ-based FDG-PET data to study metabolic coordination, compare healthy and disease states, identify hub organs and test how stable, interpretable and clinically useful these networks really are.
We are looking for motivated students, interested in nuclear medicine, medical imaging, data science, statistics, graph theory, AI, network science or computational medicine.
Join us if you want to work at the interface of molecular imaging, systems medicine and network-based disease modelling.
Emails to: barbara.geist@meduniwien.ac.at
FDG PET/CT Data Infrastructure
FDG PET/CT Data Infrastructure
How can we turn heterogeneous retrospective FDG PET/CT data into a reliable foundation for large-scale imaging biomarker research?
We are building a secure, standardized database for multi-institutional FDG PET/CT imaging data, clinical outcomes and report-derived information. The project combines data integration, automated ETL pipelines, local NLP/LLM-based information extraction, quality control and scalable database infrastructure. The goal is to create a privacy-preserving data foundation that enables robust cohort analysis, reproducible imaging biomarker development and predictive modelling across diseases and institutions. We are looking for motivated students, interested in medical imaging, nuclear medicine, data science, biomedical informatics, software engineering, NLP/AI, biostatistics or machine learning.
Join us if you want to build the data infrastructure that makes large-scale quantitative imaging research possible.
Emails to: alexander.grentner@meduniwien.ac.at