Machine learning for artemisinin resistance in malaria treatment across in vivo-in vitro platforms

H Zhang, J Guo, H Li, Y Guan - Iscience, 2022 - cell.com
Drug resistance has been rapidly evolving with regard to the first-line malaria treatment,
artemisinin-based combination therapies. It has been an open question whether predictive …

[HTML][HTML] Integration of population and functional genomics to understand mechanisms of artemisinin resistance in Plasmodium falciparum

J Oberstaller, L Zoungrana, CD Bannerman… - International Journal for …, 2021 - Elsevier
Resistance to antimalarial drugs, and in particular to the artemisinin derivatives and their
partner drugs, threatens recent progress toward regional malaria elimination and eventual …

Plasmodium falciparum malaria: Convergent evolutionary trajectories towards delayed clearance following artemisinin treatment

P Wilairat, K Kümpornsin, T Chookajorn - Medical Hypotheses, 2016 - Elsevier
Malaria is a major global health challenge with 300 million new cases every year. The most
effective regimen for treating Plasmodium falciparum malaria is based on artemisinin and its …

How genomics is contributing to the fight against artemisinin-resistant malaria parasites

P Cravo, H Napolitano, R Culleton - Acta Tropica, 2015 - Elsevier
Plasmodium falciparum, the malignant malaria parasite, has developed resistance to
artemisinin, the most important and widely used antimalarial drug at present. Currently …

Artemisinin-Resistant Plasmodium falciparum Malaria

RM Fairhurst, AM Dondorp - Microbiology spectrum, 2016 - Am Soc Microbiol
For more than five decades, Southeast Asia (SEA) has been fertile ground for the
emergence of drug-resistant Plasmodium falciparum malaria. After generating parasites …

Artesunate tolerance in transgenic Plasmodium falciparum parasites overexpressing a tryptophan-rich protein

G Deplaine, C Lavazec, E Bischoff… - Antimicrobial agents …, 2011 - Am Soc Microbiol
Due to their rapid, potent action on young and mature intraerythrocytic stages, artemisinin
derivatives are central to drug combination therapies for Plasmodium falciparum malaria …

[HTML][HTML] Ensemble machine learning modeling for the prediction of artemisinin resistance in malaria

CT Ford, D Janies - F1000Research, 2020 - ncbi.nlm.nih.gov
Ensemble machine learning modeling for the prediction of artemisinin resistance in malaria -
PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …

Functional analysis of Plasmodium falciparum subpopulations associated with artemisinin resistance in Cambodia

A Dwivedi, C Reynes, A Kuehn, DB Roche, N Khim… - Malaria Journal, 2017 - Springer
Background Plasmodium falciparum malaria is one of the most widespread parasitic
infections in humans and remains a leading global health concern. Malaria elimination …

[HTML][HTML] New insights into the spread of resistance to artemisinin and its analogues

N Noreen, A Ullah, SM Salman, Y Mabkhot… - Journal of global …, 2021 - Elsevier
Plasmodium falciparum, the causative agent of malaria, has been developing resistance to
several drugs worldwide for more than five decades. Initially, resistance was against drugs …

The mechanism of artemisinin resistance of Plasmodium falciparum malaria parasites originates in their initial transcriptional response

L Zhu, RW van der Pluijm, M Kucharski, S Nayak… - Biorxiv, 2021 - biorxiv.org
The emergence and spread of artemisinin resistant Plasmodium falciparum, first in the
Greater Mekong Subregion (GMS), and now in East Africa, is a major threat to global malaria …