We’re proud to share highlights from Prof. Dimitrios I. Fotiadis’s presentation on:
🔬 “Early Pancreatic Cancer Detection Using Extracellular Vesicles and Adaptive Learning Techniques”.
In this study, researchers combined extracellular vesicle (EV) biomarkers with clinical and laboratory data to develop a machine learning–based approach for identifying Pancreatic Ductal Adenocarcinoma (PDAC) at an early stage.
The results highlight the potential of liquid biopsy techniques, powered by AI, to support earlier and more accurate diagnosis, when treatment is most effective.
The talk was part of Theme 11: Biomedical and Health Informatics and Clinical Decision Support Systems.
A big thank you to everyone who attended!
Check out the publication here.
