AIMC Topic: Antimalarials
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MALrisk: a machine-learning-based tool to predict imported malaria in returned travellers with fever.
Journal of travel medicine
Dec 10, 2024
BACKGROUND: Early diagnosis is key to reducing the morbi-mortality associated with P. falciparum malaria among international travellers. However, access to microbiological tests can be challenging for some healthcare settings. Artificial Intelligence...
CAPi: Computational Model for Apicoplast Inhibitors Prediction Against Plasmodium Parasite.
Current computer-aided drug design
Nov 10, 2017
BACKGROUND: Discovery of apicoplast as a drug target offers a new direction in the development of novel anti-malarial compounds, especially against the drug-resistant strains. Drugs such as azithromycin were reported to block the apicoplast developme...
Antiplasmodial activity of some phenolic compounds from Cameroonians Allanblackia.
African health sciences
Sep 1, 2015
BACKGROUND: Plasmodium falciparum, one of the causative agents of malaria, has high adaptability through mutation and is resistant to many types of anti-malarial drugs. This study presents an in vitro assessment of the antiplasmodial activity of some...
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