i-Predict© is a mobile application suite that allows individuals to create their genotype- phenotype blueprint, in order to develop gene expression profiles that connect the dots between individual genetic and environmental risks. The technology creates a consumer driven building block for predictive health research by connecting personal health records with biological sample repositories.
Current medical decision-making is often based on probabilities. For example, high cholesterol levels are associated with heart disease and early stage cancers metastasize at a predictable rate. However, some individuals with high cholesterol do not develop heart disease, and some cancers progress more rapidly is some individuals, and not at all in others. Each individual has a unique set of genes and a unique environmental history. Understanding how an individual’s genetic makeup and environmental history drive health risks, disease susceptibility, and response to treatment is a challenge well beyond current capabilities. Critical to improving that understanding is a quantum leap in our ability to understand the functioning of, and interactions among complex networks, or systems of interconnected components. An individual’s genetic make-up, or genotype, is directly related to his or her phenotype (the various traits of an individual that can be observed or measured). Environmental factors also affect how an individual’s gene is expressed, or how the genetic blueprint is executed. For example, individuals who live at high altitudes, where the air holds less oxygen, produce more red blood cells. All individuals have the genetic potential for this adaptation, but it only occurs under particular environmental circumstances. Diet, exercise, exposure to sunlight, chemicals, viruses, and bacteria––all of these and much more can affect the connection between genotype and phenotype. New kinds of gene regulation continue to be discovered, including epigenetic mechanisms (mechanisms that change gene expression without changing the underlying gene sequence). Furthermore, new research shows that human genes are not the only genetic material affecting our health. Humans are intimately associated with a complex microbial community—the microbiome. Rapidly accumulating discoveries of the many essential roles of this human microbiome are redefining our understanding of human health and making it clear that a true understanding of human health must take into account not only the human genome, but also the genomes of each human’s microbial community. For example, differences in the microbiomes of twins has been shown to be associated with obese versus lean physiological states. In its 2009 report titled “A New Biology for the 21st Century”, the Institute of Medicine of the National Academy of Sciences has made recommendations for interdisciplinary research and training that will advance scientific discovery and predictive health. In the 2013 State of the Union address, President Obama called for investments in science and technology that leverage advances in our knowledge of the human genome. AccuHealth Technologies Inc. seeks collaborations and partners to develop its research pipeline of innovative health technology solutions.


Product Line

Health Systems, Clinical Research Organizations (CRO’s), & Academic Health Centers (AHC’s)

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