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Mexican startup combines genomics and artificial intelligence for disease prevention

Start-ups are consolidated by their projects that innovate and revolutionize Digital Health for a more accurate and successful exercise. Mexico has taken the strength of Artificial Intelligence to optimize its processes and increase quality in its public health systems.

Las startups son consideradas como un puente de creación e innovación entre las nuevas tecnologías y la salud.

Mexico has a breakthrough in Digital Health and this time, Artificial Intelligence (AI) was considered to build the largest biobank in Latin America specialized in deep analysis of genetic activity and combating strong diseases such as cancer.

Código 46 – the Mexican company – will open to frame each patient's genomic profile using saliva samples and other fluids that the algorithms programmed in Big Data devices will process and account for the requirements necessary to detect, prevent and/or treat diseases.

The strong Code 46 is its package called "Prevention Code" which includes a sufficient methodology to detect and gather useful information in order to measure the predisposition levels of a given disease and act as soon as possible. The studies include rigorous analysis of parameters and variants to try to anticipate any problem and generate a healthy life without mishaps.

Summarized, the package offered is for Alzheimer's, Parkinson's, diabetes, breast, ovarian and prostate cancer (enter https://codigo46.com.mx/codigo-prevencion/ for more information).

The process will store all the genomic variables collected. These will be moved to the cloud to associate with each other and boast a panorama with a sufficient range of satisfactory results possibilities. The platform will interact with previous records to calculate the possibilities of starting a cure or simply initiating preventive care to avoid problems.

Public policies aimed at producing these alternatives feed on a network of mutually working institutions to benefit the country's quality of life and work with disease patterns to know how to eradicate them in the future.

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