Unleashing the power of AI to decode gut microbiome

How we combine AI and human gut microbiome

The gut microbiome is analyzed using artificial intelligence technologies. Upon receipt of the sample, our contracted laboratories conduct the NGS-based analysis. The ENBIOSIS software processes the raw DNA data, determines which bacterial groups live in the person’s gut at the taxonomic level, and, most importantly, defines the ecological and functional relationships between them. The details of the microbiome analysis are provided in the ENBIOSIS Microbiome Modulation Report.

ENBIOSIS AI technology

To train the machine learning models, we compiled a microbiome database using available open-source data from the American Gut Project, the Human Microbiome Project, the Flemish Gut Flora Project, and the in-house data we possess. The database consists of microbiome data and lifestyle & health information from over 46,000 individuals. With our expanding biobank, our AI tech is continuously 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, fermented 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.