The general objective of the project is the automation of studying the behaviour of three-dimensional tumour cell cultures to identify patterns, new variables, and relationships that contribute to understanding cancer behaviour and the overall knowledge of the disease. To achieve such an ambitious general objective, it is necessary to address the following specific objectives: To carry out 3D bioprinting protocols for models suitable for tumour cell culture processes, taking into account the characteristics of the final products to be printed and the printing data and variables for process optimisation and automation. To design systems for monitoring cell cultures based on microscopy images. To collect relevant data to enrich the knowledge of machine learning systems, obtaining indicators associated with historical observations, pattern recognition, and the discovery of new representative variables. To leverage the representations that the system learns automatically to minimise the intervention required by expert human personnel, thereby increasing the capacity and accuracy of analyses.