James A Watson

This study evaluates the transmission-blocking effects of artesunate, chloroquine, and methylene blue on Plasmodium vivax gametocytes, finding that only artesunate and methylene blue significantly reduce oocyst and sporozoite development.

The paper improves statistical power in severe malaria genetic studies by addressing phenotypic imprecision through a probabilistic diagnostic model and data-tilting approach.

This paper warns against using unsupervised machine learning algorithms like PCoA and HAC to infer malaria parasite ancestry from genetic distance matrices, highlighting their limitations and providing guidance for more rigorous analysis.

The paper introduces a method to analyze heterogeneous treatment effects using reference classes in RCTs, showing increased treatment effect in higher risk strata of a malaria trial.

This paper develops ML methods for RCTs to identify treatment effect heterogeneity while controlling type I error, finding no crossover subgroups but significant noncrossover TEH in artesunate treatment.