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US Patent 10515715 Systems and methods for evaluating compositions

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10515715
Date of Patent
December 24, 2019
Patent Application Number
16452214
Date Filed
June 25, 2019
Patent Citations
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US Patent 10093982 Methods and systems for determination of an effective therapeutic regimen and drug discovery
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US Patent 10102476 Application of machine learning methods for mining association rules in plant and animal data sets containing molecular genetic markers, followed by classification or prediction utilizing features created from these association rules
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US Patent 10055710 Information management system for product ingredients
Patent Citations Received
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US Patent 11995842 Segmentation to improve chemical analysis
0
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US Patent 11404144 Systems and methods to suggest chemical compounds using artificial intelligence
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US Patent 11982661 Sensory transformer method of generating ingredients and formulas
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US Patent 11514350 Machine learning driven experimental design for food technology
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US Patent 10847254 Artificial intelligence based stable materials discovery process
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US Patent 11004037 Product design and materials development integration using a machine learning generated capability map
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US Patent 11631034 Method of classifying flavors
0
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US Patent 11644416 Protein secondary structure prediction
0
...
Patent Primary Examiner
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Ricky Ngon
Patent abstract

A system, apparatus, and/or method is disclosed for determining a value of a property of a considered chemical composition. An identity of a sample chemical composition may be received. A sample chemical composition may comprise ingredients. Each of the ingredients may be associated with a value of a chemoinformatic property of chemoinformatic properties of the sample chemical composition. A value of a property of the sample chemical composition and at least one of (1) the identity of the sample chemical composition or (2) the values of the chemoinformatic properties of the ingredients of the sample chemical composition may be input into a model. The value of the property of the considered chemical composition may be determined, via the model, based on at least one of (1) an identity of the considered chemical composition or (2) values of chemoinformatic properties of ingredients of the considered chemical composition.

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