ePoster - Artificial Intelligence and rare Skin diseases

• 131 • Using the Height-for-Age Z-score (HAZ) to predict protein-energy malnutrition in patients with congenital epidermolysis bullosa through the application of machine learning methods > O. Olga ORLOVA (Moscow) • 155 • Studying melanosome morphology using high-throughput setups > E. Emad NOROUZI ESFAHANI (Padova) • 36 • Development and internal validation of a machine learning prediction model for pediatric junctional and dystrophic epidermolysis bullosa in hospital records > M. Mauricio TORRES (Bogotá) • 93 • Morphological analysis of a challenging case of Congenital Melanocytic Nevus (CMN) with a second-Hit SF3B1 mutation in the brain reveals rare subpopulations and composition differences relative to healthy blood samples > S. Siamala SINNADURAI