To address this unmet need, our project introduces a novel solution in the form of a deep learning-based T cell transmigration analysis tool. Acknowledging the crucial role of immune cell diapedesis for treatment success, this innovative tool aims to predict the ability of immune cells to reach their intended targets. By incorporating a flow-based adhesion assay, this AI-based tool offers comprehensive evaluation of T cell behavior, paving the way for personalized treatment approaches. Additionally, we are currently developing an organoid-triple-co-culture model effectively mimicking both primary tumors and metastases, providing a unique platform to study the intricate influence of the tumor microenvironment on T cell transmigration. This innovative combination of technologies holds great potential for refining immunotherapeutic interventions and advancing our understanding of the complex interplay between immune cells and tumor microenvironments.

Ansprechpartner:
Dr. Yazid J. Resheq
Dr. Medhanie Mulaw

Universitätsklinikum Ulm
Klinik für Innere Medizin I
Ulm