Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean ofIndirect ImmunoFluorescence (IIF)method, and performed by analyzing patterns and fluorescence intensity. This paper introducesthe AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-bordercooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of imagesand double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The GoldStandard database is used for optimization of aCAD(Computer AidedDetection) solution and for the assessment of its added value,in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able toidentify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as secondReader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared withtwo Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher PatternsAccuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%).