Training school on “Machine Learning Applications in -Omics Data Analysis for Pancreatic Cancer”

Participants will gain practical expertise in building, validating, and interpreting machine learning models for pancreatic cancer biomarker discovery, enhanced capacity for AI-driven research collaboration within TRANSPAN, and strengthened networks among early-career researchers in computational oncology. Organizer: Joel Arrais Organizers: Beatrice Mohelníková-Duchoňová, Martin Loveček