Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …

Background Modern artificial intelligence (AI) and machine learning (ML) methods are now
capable of completing tasks with performance characteristics that are comparable to those of …

Background Leishmaniasis, a disease caused by a protozoan, causes numerous deaths in
humans each year. After malaria, leishmaniasis is known to be the deadliest parasitic …

Background Substantial improvements in computational power and machine learning (ML)
algorithm development have vastly increased the limits of what autonomous machines are …

In recent years, massive attention has been attracted to the development and application of
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …

Chagas disease is a life-threatening illness caused by the parasite Trypanosoma cruzi. The
diagnosis of the acute form of the disease is performed by trained microscopists who detect …

Cutaneous leishmaniasis is a parasitic disease that poses significant diagnostic challenges
due to the variability of results and reliance on operator expertise. This study addresses the …

Chagas disease is a Triatomine bug based infectious sickness of humans and other animals
caused by Trypanosoma cruzi (T. cruzi) species. A medical screening is essential to check …

Considered a neglected tropical pathology, Chagas disease is responsible for thousands of
deaths per year and it is caused by the parasite Trypanosoma cruzi. Since many infected …

Standard diagnosis of Chagas disease, during its acute phase, is based on Trypanosoma
cruzi visualisation through microscopy applied to peripheral blood slides. We apply …