There is ample evidence to support that dysbiosis (imbalance of beneficial and pathogenic microbes in the human microbiome) correlates with numerous health problems. Understanding the microbes in our body forms the basis for accurate diagnosis and treatment of health problems.
Microbiome precision is "an emerging approach for disease diagnosis, treatment and prevention that takes into account individual variability in the genes of human microbiome, environment, and lifestyle for each person." This approach allows doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in specific groups of people. It is in contrast to a one-size-fits-all approach, in which disease treatment and prevention strategies are developed for the average person, with less consideration for the differences between individuals.
“In microbiome precision, the focus is on identifying which approaches will be effective for specific patients based on genetic of human microbiome, environmental, and lifestyle factors.”
From big data, AI machine learning to microbiome precision
Microbiome precision can only be achievable by analyzing a large amount of raw data through machine learning.
"We collect large specific population sample, then we use metagenomics sequencing to reveal the individual gut microbes. We use AI machine learning analytics to develop meaningful insights (biomarkers) to give a blueprint for precision diagnostics, prevention and therapeutics.”
