Description

A recent study of the World Health Organization shows that in 2018 an estimated 228 million cases of malaria occurred worldwide, the majority in the African region. The SDG targets 3.3 and 3.8 call for an end to such kind of epidemics by 2030. The main goal of this project is to develop an imaging platform by using artificial intelligence techniques for automated diagnosis of malaria, tuberculosis and neglected tropical diseases. The specific objectives are: (i) create an open source image bank and database; (ii) develop an image diagnostic system by image analysis using artificial intelligence techniques; (iii) to develop software for Android-phones to move the microscopy slides, images acquisition and image analysis and diagnosis; (iv) modelling the laboratory management software to be able to import the microscopic images and resend them to the general microscopy image bank; (vi) establish a quality control of the slides preparation, digital microscopic images and image diagnosis; (vii) validate the imaging platform in the field.