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公开(公告)号：US20220101952A1
公开(公告)日：2022-03-31
申请号：US17548118
申请日：2021-12-10
申请人： Tempus Labs, Inc.
发明人： Talal Ahmed , Raphael Pelossof , Stephane Wenric , Mark Carty
摘要： A method for transferring a dataset-specific nature of a first dataset with sequencing results for a first plurality of specimen to a second dataset with sequencing results for a second plurality of specimen includes receiving a first set of adaptation factors of the first dataset that include two or more eigenvectors, where the sequencing cannot be reconstructed from the first set of adaptation factors without access to the first dataset. The method also includes generating a second set of adaptation factors of the second dataset that include two or more eigenvectors of the second dataset. The method also includes generating an adapted second dataset by adapting the dataset-specific nature of the second dataset to the dataset-specific nature of the second dataset based at least in part on the first and second sets of adaptation factors, and providing the adapted second dataset to the first entity.
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公开(公告)号：US20220101951A1
公开(公告)日：2022-03-31
申请号：US17548084
申请日：2021-12-10
申请人： Tempus Labs, Inc.
发明人： Talal Ahmed , Raphael Pelossof , Stephane Wenric , Mark Carty
摘要： A method for transferring a dataset-specific nature of a first dataset with sequencing results for a first plurality of specimen to a second dataset with sequencing results for a second plurality of specimen includes receiving a first set of adaptation factors of the first dataset that include two or more eigenvectors, where the sequencing cannot be reconstructed from the first set of adaptation factors without access to the first dataset. The method also includes generating a second set of adaptation factors of the second dataset that include two or more eigenvectors of the second dataset. The method also includes generating an adapted second dataset by adapting the dataset-specific nature of the second dataset to the dataset-specific nature of the second dataset based at least in part on the first and second sets of adaptation factors, and providing the adapted second dataset to the first entity.
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公开(公告)号：US20210142904A1
公开(公告)日：2021-05-13
申请号：US17150992
申请日：2021-01-15
申请人： Tempus Labs, Inc.
发明人： Jackson Michuda , Kyle Ashley Beauchamp , Joshuah Kapilivsky , Calvin McCarter , Nike Beaubier , Martin Christian Stumpe , Catherine Igartua , Joshua SK Bell , Timothy Taxter , Raphael Pelossof
摘要： Systems and methods are provided for determining a cancer type of a somatic tissue in a subject. A first plurality of sequence reads is obtained from a plurality of RNA molecules in a biopsy of the subject. A first set of sequence features comprising relative miRNA abundance values of genes is determined from the first plurality of sequence reads. Sequence features are applied to a classification model trained to distinguish between each cancer type in a set of at least 50 cancer types, thus determining the cancer type of the somatic tissue in the subject. The classification model provides an indication that the somatic tissue is or is not a respective cancer type, and the set of cancer types includes at least two cancer types from one or more classes of cancer selected from the group consisting of hematological cancers, squamous cancers, endometrial cancers, sarcoma cancers, and neuroendocrine cancers.
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公开(公告)号：US20230187070A1
公开(公告)日：2023-06-15
申请号：US17982399
申请日：2022-11-07
申请人： Tempus Labs, Inc.
发明人： Jackson Michuda , Kyle Ashley Beauchamp , Joshuah Kapilivsky , Calvin McCarter , Nike Tsiapera Beaubier , Martin Christian Stumpe , Catherine Igartua , Joshua SK Bell , Timothy Taxter , Raphael Pelossof
摘要： Systems and methods are provided for identifying a diagnosis of a cancer condition for a somatic tumor specimen of a subject. The method receives sequencing information comprising analysis of a plurality of nucleic acids derived from the somatic tumor specimen. The method identifies a plurality of features from the sequencing information, including two or more of RNA, DNA, RNA splicing, viral, and copy number features. The method provides a first subset of features and a second subset of features from the identified plurality of features as inputs to a first classifier and a second classifier, respectively. The method generates, from two or more classifiers, two or more predictions of cancer condition based at least in part on the identified plurality of features. The method combines, at a final classifier, the two or more predictions to identify the diagnosis of the cancer condition for the somatic tumor specimen of the subject.
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公开(公告)号：US11527323B2
公开(公告)日：2022-12-13
申请号：US15930234
申请日：2020-05-12
申请人： Tempus Labs, Inc.
发明人： Jackson Michuda , Kyle Ashley Beauchamp , Joshuah Kapilivsky , Calvin McCarter , Nike Beaubier , Martin Christian Stumpe , Catherine Igartua , Joshua S K Bell , Timothy Taxter , Raphael Pelossof
摘要： Systems and methods are provided for identifying a diagnosis of a cancer condition for a somatic tumor specimen of a subject. The method receives sequencing information comprising analysis of a plurality of nucleic acids derived from the somatic tumor specimen. The method identifies a plurality of features from the sequencing information, including two or more of RNA, DNA, RNA splicing, viral, and copy number features. The method provides a first subset of features and a second subset of features from the identified plurality of features as inputs to a first classifier and a second classifier, respectively. The method generates, from two or more classifiers, two or more predictions of cancer condition based at least in part on the identified plurality of features. The method combines, at a final classifier, the two or more predictions to identify the diagnosis of the cancer condition for the somatic tumor specimen of the subject.
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公开(公告)号：US20220059190A1
公开(公告)日：2022-02-24
申请号：US17405025
申请日：2021-08-18
申请人： Tempus Labs, Inc.
发明人： Talal Ahmed , Raphael Pelossof , Stephane Wenric , Mark Carty
摘要： A method for transferring a dataset-specific nature of a first dataset with sequencing results for a first plurality of specimen to a second dataset with sequencing results for a second plurality of specimen includes receiving a first set of adaptation factors of the first dataset that include two or more eigenvectors, where the sequencing cannot be reconstructed from the first set of adaptation factors without access to the first dataset. The method also includes generating a second set of adaptation factors of the second dataset that include two or more eigenvectors of the second dataset. The method also includes generating an adapted second dataset by adapting the dataset-specific nature of the second dataset to the dataset-specific nature of the second dataset based at least in part on the first and second sets of adaptation factors, and providing the adapted second dataset to the first entity.
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