Principal Investigator:
Prof.ssa Maria Gabriella Ferrandina, Prof. Gabriella Macchia
Researchers involved:
Dott.ssa Rosa Autorino, Dott.ssa Alessia Nardangeli, Ing. Tina Pasciuto, Ing. Carlotta Masciocchi
Target:
Analysis of clinical, laboratory, histopathological and treatment variables in order to develop and validate a multifactorial predictive model for pathological complete response in locally advanced cervical cancer (LACC) patients
The project is based on a granular and comprehensive analysis of retrospective data related to this pathology, and uses data analysis and discovery techniques (such as text mining) to extract and synthesise the vast knowledge base from reports and specialist advice, and transform this information into structured data with analytical and predictive purpose.