How We Combine AI and Human Gut Microbiome
The gut microbiome is analysed using artificial intelligence technologies. Upon receipt of the sample, our laboratory conducts the NGS-based analysis. The ENBIOSIS algorithm processes the raw DNA data, determines which bacteria groups live in the person’s gut in the taxonomic level, and most importantly defines the ecological and functional relationships between them. The details of the client’s microbiome analysis is provided in the ENBIOSIS Microbiome Analysis Report.
ENBIOSIS AI Technology
In order to train the machine learning models, we compiled a microbiome database using available open source data from American Gut Project, the Human Microbiome Project, Flemish Gut Flora Project, and the in-house data we possess. Microbiome data and lifestyle & health info of over 33,000 individuals constitute the database. With our growing biobank, our AI tech is improving itself.
Probiotic Recommendation System
Probiotics are live microorganisms providing health benefits when consumed as supplementations. Each person’s microbiome is deficient of different probiotic organisms.Analyzing each individual’s microbiome at microbial gene resolution, ENBIOSIS provides personalized probiotics suggestions for promoting health, as well as adverse the complications of chronic diseases.
ENBIOSIS AI Based Nutrition Model
In order to evaluate food-microbiota relationship, we compiled a nutrient database containing categories: carbohydrates, proteins, lipids, vitamins/minerals, phytochemicals, food additives, specific food, fermanted food. Micronutrients that are associated with the growth/inhibation of certain microorganisms in in vivo studies are determined by a meta-analysis.
The final database includes micronutrients and their target microorganisms. When a preferred microbiome modulation (i.e. towards a healthier state, in favor of probiotic composition) is determined, the related micronutrients receive scores accordingly. A single micronutrient can have multiple targets, as well as an organism can be targeted by multiple micronutrients. This results in repetitive preferences of certain micronutrients, thus differential grading in a broad range.
The final scores are a relative grading scaled to 0-10 range. Similarly, the food scorings are the cumulative scoring of food items linearly weighted by their micronutrient ingredients.
ENBIOSIS Next-Gen Probiotics and Live Biotherapeutics
Our AI-based biomarker discovery technology data-mine vast amounts of microbiome data to discover genetic entities associated with human health. Throughout our quest in our proprietary micro-biobank, we have discovered striking biomarkers (bacterial genes and biosynthetic gene clusters as large DNA segments) that can potentially deliver unprecedented health benefits.
We initiated a research and development program to produce genetically engineered microorganisms to integrate mentioned biomarkers delivering next-generation of probiotics.