首页|Patent Application Titled "Machine Learning Solution To Predict Protein Characte ristics" Published Online (USPTO 20240055100)
Patent Application Titled "Machine Learning Solution To Predict Protein Characte ristics" Published Online (USPTO 20240055100)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors BADAM, Anirudh (Issaquah, WA, US); BHAGAVATHULA, Anvita Kriti Prakash (Pro vidence, RI, US); CHANDRA, Ranveer (Kirkland, WA, US); DE MOURA ESTEVAO FILHO, R oberto (Raleigh, NC, US); MAUA, Sara Malvar (Sao Paulo, BR); SHARMA, Swati (Hayw ard, CA, US); de LUIS BALAGUER, Maria Angels (Raleigh, NC, US), filed on Decembe r 23, 2022, was made available online on February 15, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "As the world's population increases rapidly and because land, water, and food resources are limited, it is becoming increasingly important to provide quality protein to meet human nutritional needs. A sufficient dietary s upply of protein is necessary to support the health and well-being of human popu lations. New foods and alternative proteins are created as a solution to this ne ed. However, the current techniques for evaluating the characteristics of new fo od proteins are labor intensive and generally require human or animal test subje cts. "Alternative techniques for rapidly evaluating characteristics of proteins would have great utility in developing new food items and alternative protein sources . This disclosure is made with respect to these and other considerations."
CyborgsEmerging TechnologiesMachine LearningPatent ApplicationPeptidesPeptides and ProteinsProteins
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