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
Free