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Technology The start-up developed a proprietary neural network able to study millions of scientific publications and scientific databases. All information are tagged and categorized, the final output, given a starting input is a recommendation of the most probable protein involved, considering 450 million interactions, diseases, and pathways. It a sort of macro-investigator producing new scientific papers. Purpose Speed-up the scientific research, speed-up the bibliographic investigation; giving suggestions based on complex study interactions where humans can not arrive. Usability After days of calculations, the neural network is available to suggest proteins,given a starting input of some otherproteins and/or diseases. ( Financial Recommendation is free for no profit research, only profit companies pay. The platform can be sponsored by reagent producers country by country.



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Email: (general) (Luigi Bondurri, Director)