The Universal Immune System Simulator – Mammary Carcinoma (UISS-MC) is an agent-based model specifically tailored to simulate the effects of tumor-preventive cell vaccines in HER-2/neu transgenic mice prone to the development of mammary carcinoma. 

This solution combines a genetic algorithm engine to optimize dosage for vaccination schedules, suggesting effective cancer-preventive vaccination protocols competitive with human-designed protocols. 

Università degli Studi di Catania (UNICT) will use anonymized data coming from the Istituto Europeo di Oncologia in order to extend UISS-MC for clinical usage, validating its general predictive accuracy of the patient-specific modelling pipeline. 

With the retrospective collections of experimental data, it will be possible to test the prediction accuracy of UISS-MC for immunotherapies against mammary carcinoma in humans.