Emerging computational technologies in human leishmaniasis: where are we?

Trans R Soc Trop Med Hyg. 2022 Nov 1;116(11):981-985. doi: 10.1093/trstmh/trac047.

Abstract

Human leishmaniasis is a neglected tropical disease (NTD) with high morbidity and is endemic in low- to middle-income countries. Its diagnosis, treatment and epidemiological control methods are outdated and obsolete, which has become a challenge for health practitioners in controlling the disease. Computational methods have proven to be beneficial and have become popular in many fields of medicine, especially in affluent countries. However, they have not been widely used for NTDs. To date, few computational technologies have been employed for leishmaniasis. Although new technologies in leishmaniasis are theorized, they have only been minimally applied and have not been updated, even in other infections. Research and development on NTDs suffers from the inherent difficulties of the demographic regions the diseases afflict. In this narrative review we described the e-tools available in managing leishmaniasis, ranging from drug discovery to treatment.

Keywords: artificial intelligence; heath technologies; leishmaniasis; neglected tropical diseases; telemedicine.

Publication types

  • Review

MeSH terms

  • Humans
  • Income
  • Leishmaniasis* / diagnosis
  • Leishmaniasis* / drug therapy
  • Morbidity
  • Neglected Diseases / diagnosis
  • Neglected Diseases / drug therapy
  • Neglected Diseases / epidemiology
  • Tropical Medicine*