Patents by Inventor Kyle BEAUCHAMP
Kyle BEAUCHAMP has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12534719Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.Type: GrantFiled: June 12, 2023Date of Patent: January 27, 2026Assignee: Myriad Women's Health, Inc.Inventors: Eric Andrew Evans, Imran Saeedul Haque, Kyle Beauchamp, Clement Chu, Carlo G. Artieri, Noah Welker
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Patent number: 12499970Abstract: A system and method for determining a respective carrier status of an individual is provided. In one implementation, a method includes training a neural network model based on predetermined information related to at least one genetic variant and determining the respective carrier status based on a normalized read depth for the gene in a genome of the individual and allele dosage data for the gene using a machine learning algorithm. The method is configured to receive, as inputs, the normalized read depth and allele dosage data, and output the respective carrier status of the individual for the at least one genetic variant. In another implementation a system includes a recurrent neural network. The recurrent neural network includes a plurality of long short-term memory (LSTM) network cells linked sequentially in the recurrent neural network, a plurality of layers of long short-term memory (LSTM) network cells; and a fully connected sigmoid module.Type: GrantFiled: September 30, 2020Date of Patent: December 16, 2025Assignee: Myriad Women's Health, Inc.Inventors: Sun Hong, Kyle Beauchamp, Kevin Haas
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Publication number: 20230416729Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.Type: ApplicationFiled: June 12, 2023Publication date: December 28, 2023Applicant: MYRIAD WOMEN'S HEALTH, INC.Inventors: Eric Andrew Evans, Imran Saeedul Haque, Kyle Beauchamp, Clement Chu, Carlo G. Artieri, Noah Welker
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Patent number: 11708574Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.Type: GrantFiled: June 9, 2017Date of Patent: July 25, 2023Assignee: Myriad Women's Health, Inc.Inventors: Eric Andrew Evans, Imran Saeedul Haque, Kyle Beauchamp, Clement Chu, Carlo G. Artieri, Noah Welker
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Publication number: 20220101943Abstract: A system and method for determining a respective carrier status of an individual is provided. In one implementation, a method includes training a neural network model based on predetermined information related to at least one genetic variant and determining the respective carrier status based on a normalized read depth for the gene in a genome of the individual and allele dosage data for the gene using a machine learning algorithm. The method is configured to receive, as inputs, the normalized read depth and allele dosage data, and output the respective carrier status of the individual for the at least one genetic variant. In another implementation a system includes a recurrent neural network. The recurrent neural network includes a plurality of long short-term memory (LSTM) network cells linked sequentially in the recurrent neural network, a plurality of layers of long short-term memory (LSTM) network cells; and a fully connected sigmoid module.Type: ApplicationFiled: September 30, 2020Publication date: March 31, 2022Applicant: Myriad Women's Health, Inc.Inventors: Sun HONG, Kyle BEAUCHAMP, Kevin HAAS
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Publication number: 20210005280Abstract: Methods for determining a respective carrier status of an individual are disclosed. In some examples, the method includes determining the respective carrier status based on copy number data for a gene in a genome of the individual and SNP data for the gene using a machine learning algorithm. In some examples, the machine learning algorithm is configured to receive, as inputs, the copy number data and the SNP data, and output the respective carrier status of the individual.Type: ApplicationFiled: September 22, 2020Publication date: January 7, 2021Applicant: MYRIAD WOMEN'S HEALTH, INC.Inventors: Kyle BEAUCHAMP, Dale MUZZEY, Adithya C. GANESH, Sun Hae HONG
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Publication number: 20180201994Abstract: Capture probe libraries can be used to enrich a region of interest in a sequencing library for high-depth sequencing. The capture probes within the capture probe libraries often do not function in a predictable or uniform manner. Described herein are balanced capture probe libraries and methods of balancing capture probe libraries. A sequencing library can be enriched using balanced capture probe libraries, and the enriched sequencing library can be sequenced to obtain a sequencing depth closer to a desired sequencing depth.Type: ApplicationFiled: January 17, 2018Publication date: July 19, 2018Inventors: Kyle BEAUCHAMP, Dale MUZZEY, Noah WELKER, Jared Robert MAGUIRE
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Publication number: 20170355984Abstract: High-fidelity, high-throughput nucleic acid sequencing enables healthcare practitioners and patients to gain insight into genetic variants and potential health risks. However, previous methods of nucleic acid sequencing often introduces sequencing errors (for example, mutations that arise during the preparation of a nucleic acid library, during amplification, or sequencing). Provided herein are sequencing adapters comprising a nondegenerate or variable length molecular barcode and compositions comprising a plurality of sequencing adapters, which can be useful for sequencing nucleic acids. Further provided are methods of using the sequencing adapters, including methods of sequencing nucleic acids, methods of identifying an error in a nucleic acid sequence, and methods of determining the number of nucleic acid molecules in a library.Type: ApplicationFiled: June 9, 2017Publication date: December 14, 2017Inventors: Eric Andrew EVANS, Imran Saeedul HAQUE, Kyle BEAUCHAMP, Clement CHU, Carlo G. ARTIERI, Noah WELKER