Discover your Biological Age Story- Health discourse with Sakshi & Sushant Ep 13

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Aging is the future not because there is a wave of longevity companies measuring your biological age but assessment of biological age at system biology level gives a comprehensive picture of efficiency of your human & microbial cellular functions.Unfortunately, none of the longevity or so-called fitness companies have model & data in place to measure the cellular functions & specific gene expression & molecular pathways that are causing cellular decay.Some may look at telomere testing or DNA methylation while others may look at plasma level of blood investigations to assess the biological ageIt is important to mention that-Telomere testing does not give a comprehensive view of biology at molecular level & is just one aspect of biological age. None of the telomere tests can actually tell how bad your mitochondria is performing or what specific biomarkers is leading to telomere length shortening-DNA methylation just looks at underexpression or no expression of certain genes, lacking a comprehensive view of human biology-Blood tests never focus on human microbiome functions & just look at certain few blood markers, the outcome of that itself suffers from high standard deviation ~ more than 30%. There are multiple structural issues with no focus on the optimality of quantum biomarkers.-None of these biological age clocks are based on Indian specific molecular data.Departure from these flawed models, we measure biological age based on measurement of cellular functions, focussing on -Cellular Proteostasis -Oxidative stress driven DNA damage-Telomere regulation- Systemic Inflammation-Cellular Senescence -Stem Cell Regenerative signalling-Protein Fermentation-Gut & oral microbiome functional pathways-Cellular stress response-including unfolded protein response-Hypoxia induced stress-Metabolic stress-Mitochondrial Biogenesis-Genotoxic Stress-Antioxidant production markersOur model based on deep learning algorithms has been developed from mining 6 billion of molecular & phenotype metadata sets.Our today’s podcast discusses the science behind aging & how we are bringing a data driven revolution in longevity.

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