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Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD (Computer Aided Detection) 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 to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher Patterns Accuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%).

The recent increase of new technologies and their involvement into all management processes call into question the smart logistics current models, in which massive amounts of data is collected and controlled. Smart Logistics is considered as fundamental pillar of the 4th industrial revolution 'industry 4.0'. This revolution is based on different concepts including the blockchain technology. Blockchain remains one of the buzzwords in the technological world. So that all sectors are focus on concrete use cases. However, few actors can boast of having devised revolutionary solutions. For good reasons, blockchain technology is still very complex to understand. The purpose of this study is to define the various applications of Blockchain in Smart Logistics, as well as to present concrete examples of these applications. This work was done by classifying the applications according to four clusters: Information, Transport, Finance, and Management, in addition to presenting the applications of each cluster.