Predicting treatment outcomes for neglected tropical diseases

Analysis of approx 4,000 Individual Patient Data (IPDs) from 34 datasets on the IDDO platform using machine learning and/or statistical modelling techniques to address two key questions:

1. Has the efficacy of the medicines used to treat schistosomiasis and soil-transmitted helminthiases (STHs) declined over the past decade of use or with the longevity of mass drug administration (MDA)?
2. What alternative treatment regimens (doses and/or drug combinations) may be more efficacious for treating schistosomiasis and/or STHs?