AutoML flags malaria risk in Nigerian children before symptoms appear
Researchers used automated machine learning and cluster analysis of Nigeria Malaria Indicator Survey data to predict malaria risk in minors ...
Researchers used automated machine learning and cluster analysis of Nigeria Malaria Indicator Survey data to predict malaria risk in minors ...
A large community study in Oyo State, Nigeria, found near-universal adherence to seasonal malaria chemoprevention among children under five, but ...
A case-control study in Port Harcourt, Nigeria, finds that mild COVID-19, malaria, and co-infection all elevate platelet distribution width and ...
A large survey of schoolchildren in Cameroon shows that sickle cell trait does not prevent asymptomatic malaria infections but strongly ...
A high-density peptide array covering the entire Plasmodium vivax proteome has identified 283 immunogenic proteins and revealed a distinctive antibody ...
A year-long trapping study in Haiti's Ouest Department found that human population density, temperature, and vegetation indices are the strongest ...
A nationwide survey of nearly 1,200 Cambodian bats has revealed high diversity of haemosporidian malaria parasites, including the first record ...
New research shows that the ability of malaria sporozoites to migrate through host cells before liver infection is a dominant ...
A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental ...
A study in Burkina Faso finds that people carrying sickle-cell trait or hemoglobin C show elevated sexual conversion of malaria ...
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© 2025 Scienmag - Science Magazine