Genefitletics, an Indian biotech company has extended its biochemical footprint beyond human microbiome & can now identify expression levels of specific biological signals that could tell the state of health of the cells.

The company uses machine learning & system biology to identify hard to detect biological signals underlying metabolic diseases & cancer at an earliest stage, upgraded its most comprehensive preventative health product that redefines how individuals understand, measure, track, monitor & optimise health of their individual cells.

With the core philosophy that your genes are static and does not translate into functions until transcribed, the company works at the intersection of next generation sequencing & machine learning(mathematics) to identify, measure biological signals, pathways underlying onset of asymptomatic chronic diseases at an earliest stage, and deliver personalised health insights 

“The current healthcare model is reactive in nature & waits for post disease symptoms to show up which takes years or sometime decades to show up in routine diagnostic investigations. As a result, modern medicine ends up managing or suppressing symptoms of diseases not curing the disease”, said Sushant Kumar, Founder & CEO of Genefitletics.

At Genefitletics, we believe that preventative health begins at identifying and decoding the pre-disease noises which are generally asymptomatic and not identifiable by standard of care diagnostic tests, healthcare delivery and wearable data. “Our technological models for human biology identify these hard to detect biological signals causing cellular inflammation & mitochondrial dysfunction before disease manifests & translate these insights into personalised data driven nutrition & supplement recommendations so that an individual can reclaim control of their health before they enter the disease progression zone” , he added

Sushant further said that, “Our platform- PROTEBA trained by 12 billion molecular data points, 45 million phenotype data, 35000 plus peer reviewed research publications & ever evolving clinical insights from new updated research, can now measure expression of certain pathways causing cellular inflammation, cellular senescence, energy efficiency and cellular stress be it hypoxia induced stress, genotoxic stress, oxidative stress or uncoupled protein response. This foundation of molecular data and relevant molecular & cellular insights enables our recommendation engine to deliver nutritional therapeutics interventions that reduces disease risk & promotes longevity.

There are multiple new features included with full body biochemistry solution, they can generate cellular health score, that offers a comprehensive picture of the state of health of individual cells it takes into account cellular senescence, cellular inflammation, cellular stress, health of mitochondria( energy efficiency) and immune system activation. The other added features are triglycerides homeostasis, to measure the triglyceride levels at cellular level and decoding the risks, the irritable bowel disease risk and intelligent molecular feedback loop which enables to track the real time impact of the nutrition recommendations on the biological pathways and phenotype, empowering to take preventative personalised action for better health and longevity.