Open access
Aug 2026
An optimised serological machine learning model enabling targeted test-and-treat for Plasmodium vivax malaria
A machine learning algorithm is presented that classifies recent P. vivax infections using serological markers to identify likely hypnozoite carriers andpins the P. vivax serological testing and treatment strategy, enabling targeted anti-hypnozoite therapy and strengthening elimination efforts.
L. Smith, D. Argyropoulos, A. P. Bareng et al.
· medRxiv · 0 citations