Key information
Objective
Identify bacterial taxonomic signatures of the gut microbiota that predict animal survival according to the treatment received using machine learning approaches.
Available datasets
Murine models, inoculated with pathogenic bacteria causing severe diarrhoea, subjected to treatment with a molecule of interest. Microbiome and preclinical data from several preclinical studies.
Added value
Biological/mechanistic knowledge linking the initial composition of the microbiota and the efficacy of the treatment to drive the future development of the product in a dimension of personalized medicine.
