The WWTF Life Sciences 2023 call "Understanding Biology with AI/ML" was aimed at researchers in Vienna who want to carry out an excellent and interdisciplinary research project (2 - 4 years) in biology, biomedicine or clinical sciences that applies innovative methods of artificial intelligence (AI) or machine learning (ML) to large data sets.
Juliane Winklers research project "Multiscale discovery of cellular and microanatomical determinants of metastasis" was selected for funding by the jury as one of the nine excellent projects.
LS23-067 Juliane Winkler (Medical University of Vienna, Center for Cancer Research)
Multiscale discovery of cellular and microanatomical determinants of metastasis
Co-PI: André Rendeiro (CeMM), Zsuzsanna Bagó-Horváth (MUW)
Duration: 48 months, Funding volume: € 799,960
Cancer spreading to other body parts is a major cause of cancer-related death. In this proposal, we will investigate why some breast cancer patients develop these dangerous spread-outs, called metastases. While some contributing factors inside the tumor are known, the role of the surrounding tissue environment is largely unknown. We are using patient samples and special mice that mimic human breast cancer to gather extensive data on individual tumor cells and their surroundings during metastasis formation. Our innovative imaging technology reveals even the tiniest local features and cellular interactions within metastatic tissues. Advanced artificial intelligence techniques then put together this multifaceted information, creating a detailed map of metastases. Using these maps, our project aims to improve our understanding of how cancer spreads, to identify patients at high risk of life-threatening metastasis and discover novel personalized treatments for breast cancer patients.