Patient data today consists of a complex network of information. This information comprises a variety of modalities, ranging from imaging procedures to fitness trackers.
We offer you the opportunity to combine various data sources and then perform comprehensive analyses on these data. Using an "encoder," we translate the individual data modalities into a common representation, which enables the execution of a fusion. In a multimodal learning environment, relationships between the data modalities are recognized to ensure a holistic understanding of the information.