Researchers using machine learning discovered that variations in microbial load in the gut, influenced by age, sex, diet, and more, play a significant role in disease-related bacterial presence. This ...
"With our approach, we want to generalize these data for the benefit of the larger field and with the tools we provide, microbial load can be predicted for all adult human gut microbiome studies." The ...