There are ample evidence to support that dysbiosis (imbalance of beneficial and pathogenic microbes in the human microbiome) correlates with numerous chronic or autoimmune diseases. Understanding the microbes in our body forms the basis for accurate diagnosis and treatment of human diseases.
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 will allow doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in which 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.
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.
Using our unique in-house data and those from publicly available sources, we have developed proprietary machine learning algorithms to accurately identify novel microbes as non-invasive diagnostic biomarkers and potential therapeutic solutions to a variety of diseases such as COVID-19, colorectal cancer, obesity, high cholesterol, autism, eczema, and hair loss.