WP4 Modelling, omics and human feeling toward organoid innovative research

Task 1 Collection of data on pathological and healthy samples for organoid generation

In terms of data analysis, both advanced statistical techniques and machine learning techniques will be used, to be chosen according to the quantity and quality of the data available.

Task 2 Collection of data on historical data on the pathologies under consideration

A narrative medical analysis will be carried out on the psychological data an perceptual questionnaires, using both basic techniques (e.g., the analysis methods of Kleinman, Frank, Bury and Launer-Robinson) and innovative techniques (i.e., affective computing). Finally, the data collection in one or more data sets will focus on identifying new characteristics useful to the scientific community through the provision of statistics, measurements and associations. The data set will be provided in a proper standardized format.

Task 3 Collection of data from both patients/family members and the general public (adults and children)

In addition to the clinical questionnaires already planned in the hospital, closed- ended single-response questionnaires for statistical purposes and open-ended questionnaires on understanding and perception/confidence in organoid Technology will be administered during the Sharper – the Researchers’ Night event, to adults, teenagers, and –in a simplified visual version- to children (see attached questionnaire formulated for adults).