ICT Tools for the Diagnosis of Autoimmune Diseases

The ITAMA project, which ended in 03/2022, came from the need to increase/anticipate the number of diagnosed cases of celiac disease (CD). The project involved the preliminary development of 'software tools' (Graphical User Interface (GUI), DATABASE, Decision Support System (DSS)) used to support the physicians to optimize CD diagnosis. Subsequently, through a screening of about 20,000 subjects of school age in Malta and about 1,000 subjects in Sicily, it was shown that, in compliance with international guidelines, it is possible to anticipate CD diagnosis and make it easy with the aid of a tool based on the search for specific antibodies in the blood, collecting a single drop of blood - with a test performed directly "in the points where care is provided" (eg schools, outpatient clinics) that is with a Point-of-Care-Test (PoCT). This system proved to be effective, and the method was minimally invasive (at least in some pediatric cases it was possible to avoid the endoscopic examination). The ITAMA project has made it possible to bring out a submerged part of the "CD iceberg", a condition that in a large percentage of cases remains undiagnosed and transfer the know-how to commercial companies in the medical sector. ITAMA project results allowed to verify and validate, on a large sample of subjects subjected to screening, that: 1. Diagnosis can be anticipated and facilitated by combined use of a rapid test (PoCT), medical history (supported by software) and traditional serological tests. 2. The diagnosis can be optimized by the support of Information Technology (IT) tools based on Artificial Intelligence (AI). 3. Non-invasive methods, if correctly applied, allow CD diagnosis avoiding invasive diagnostic techniques. 4. The reported procedures grant considerable savings for the National Health System (NHS). Starting from the results of ITAMA, this capitalization project aims to extend the previous experience in a larger population with heterogeneous characteristics