Machine Learning for Multimodal Healthcare Data

The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop''s primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data.