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In this podcast, Fedor Galkin, the Project Manager at Insilico Medicine, Inc., talks in detail about his studies in aging/longevity, human genotypes, and the microbiome.

Galkin attended Moscow State University and earned a degree in Bioengineering & Bioinformatics. Galkin\u2019s work focuses on microbiome aging clocks based in deep learning. It is important to note that the microbiome can be utilized to predict the age of people, accurately, within but a few years.

Galkin provides information on some of the earliest microbiome aging clocks, and the technology that supports them. Some technologies can make important assessments based on blood biochemistry and gene expression levels; however, Galkin states there\u2019s never been a clock that actually predicts age accurately, based on gut microbes. Galkin explains how they select and look at the various microbes in their study and research. And he talks about the correlations and organization within the microbes, and how with age, things will often fluctuate.

Galkin talks about how certain conditions, such as diabetes can make the gut microbes appear to be those of a much older person. And the bioengineering expert discusses nutrients, and supplements, etc. and how they can impact biological systems. Galkin explains their work on the species level and his expectations to research more on the functional and genetic level as well, regarding the human microbiome.

In this podcast:

How the microbiome can predict age

The various areas within the study of microbes

How blood chemistry and gene expression are involved