SCIENCE

In a study conducted by the Weizmann Institute of Science on 800 healthy volunteers (Cell, 19 November 2015), it has been observed that different people react to the same foods with different blood glucose levels. Successful results were obtained in 100 people who were included in the study later. Information about the physical activity, sleep patterns, drug use, and anthropometric data of the individuals were collected and then, stool samples were analyzed with microbiome test. Thanks to the artificial intelligence algorithms developed, blood sugar responses of individuals to foods have been predicted successfully. In the study, general dietary recommendations have been reported to provide limited benefit in individuals.

The microbiome of every human is unique. The characteristics of the bacteria are encoded in their genes. Our goal is to change the players undertaking our body functions in a positive direction and to increase the number of tasks they undertake. We detect bacteria that make up the gut microbiome using advanced molecular genetic analyzes. The main process is to classify all the bacteria in the gut according to their genetic structure and to analyze how many bacteria are there in each class in the population. As it has many advantages such as having sufficient database, being present in all bacteria, being protected functionally, and having well-protected and heterogeneous regions, we use the 16S_rRNA-nucleotide-sequencing method, among the DNA sequencing technologies, in the analysis of stool sample.

Personalized Health

Health begins with how your body processes food. Gut microbiome is directly related to your health.

Personalized Diet

Significant differences in blood sugar levels observed among different people consuming the same food emphasize why personalized dietary preferences are more feasible than universal dietary recommendations.

16S rRNA-nucleotide sequence

We determine the composition and diversity of the gut microbiome at the genetic level by using high-throughput 16S rRNA-nucleotide sequencing methods.

Artificial Intelligence Algorithms

We train our artificial intelligence algorithms with high-quality peer-reviewed scientific literature studies that are carefully selected, expert information from our science team, biological tests, and client feedbacks.

Erciyes University Genome and Stem Cell Center

The gut microbiome is analyzed by 100% local scientists at Erciyes University Genome and Stem Cell Center Laboratory in accordance with the most recent studies and in light of science.

Science Team

Microbiology specialist Assoc. Prof. Dr. Dr. Aycan Gündoğdu, who worked in Australia for 7 years in this field, and Bioinformatics Engineer Dr. Özkan Ufuk Nalbantoğlu, who worked in the USA for 10 years in this field, have brought their experience in science and technology to our country.