The development of three-dimensional (3D) tissue models that allow the investigation of the physiology and pathology of different biological structures, without the need to use animal models or invasive procedures to obtain samples, represents a major advancement in the study of multiple diseases, including cancer.

In this regard, there is growing interest in modelling the human uterus, partly driven by the lack of significant improvements in the treatment of endometrial diseases, such as endometrial cancer. Therapeutic efficiency and the overall survival rate of these patients have not improved in recent times due to the lack of reliable preclinical models for this condition.

The UTERIAM project “Artificial intelligence applied to the generation of uterine tissue through advanced manufacturing” has as its main objective to carry out an industrial research process capable of integrating artificial intelligence into the generation of uterine tissue models through the use of advanced biofabrication techniques (highlighting 3D bioprinting, electrospinning and their combined use), enabling the study of pathologies such as endometrial cancer, which are difficult to address from other disciplines.

In this way, the current limitation regarding the lack of AI applications specifically designed to optimise the generation of complex endometrial tissue models through 3D bioprinting—allowing the study of diseases such as endometrial cancer and advancing knowledge of these pathologies—will be overcome.

This project has been co-funded by the Government of the Principality of Asturias through the 2024 call for R&D projects from SEKUENS and by the European Union through ERDF (file no. IDE/2024/000469).