JP2019532410A5 - - Google Patents

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JP2019532410A5
JP2019532410A5 JP2019513943A JP2019513943A JP2019532410A5 JP 2019532410 A5 JP2019532410 A5 JP 2019532410A5 JP 2019513943 A JP2019513943 A JP 2019513943A JP 2019513943 A JP2019513943 A JP 2019513943A JP 2019532410 A5 JP2019532410 A5 JP 2019532410A5
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Japan
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computer
genes
implemented method
kit
linc00599
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JP2019513943A
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Japanese (ja)
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JP7022119B2 (ja
JP2019532410A (ja
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Priority claimed from PCT/EP2017/063073 external-priority patent/WO2018050299A1/en
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Priority to JP2022016224A priority Critical patent/JP7275334B2/ja
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JP2019513943A 2016-09-14 2017-05-30 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ Active JP7022119B2 (ja)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2022016224A JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201662394551P 2016-09-14 2016-09-14
US62/394,551 2016-09-14
PCT/EP2017/063073 WO2018050299A1 (en) 2016-09-14 2017-05-30 Systems, methods, and gene signatures for predicting a biological status of an individual

Related Child Applications (1)

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JP2022016224A Division JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Publications (3)

Publication Number Publication Date
JP2019532410A JP2019532410A (ja) 2019-11-07
JP2019532410A5 true JP2019532410A5 (https=) 2020-07-16
JP7022119B2 JP7022119B2 (ja) 2022-02-17

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ID=59021473

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Application Number Title Priority Date Filing Date
JP2019513943A Active JP7022119B2 (ja) 2016-09-14 2017-05-30 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ
JP2022016224A Active JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

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JP2022016224A Active JP7275334B2 (ja) 2016-09-14 2022-02-04 個人の生物学的ステータスを予測するためのシステム、方法および遺伝子シグネチャ

Country Status (8)

Country Link
US (1) US20190244677A1 (https=)
EP (1) EP3513344A1 (https=)
JP (2) JP7022119B2 (https=)
KR (2) KR102685289B1 (https=)
CN (1) CN109643584A (https=)
CA (1) CA3036597C (https=)
MX (1) MX2019002316A (https=)
WO (1) WO2018050299A1 (https=)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102517328B1 (ko) * 2021-03-31 2023-04-04 주식회사 크라우드웍스 작업툴을 이용한 이미지 내 세포 분별에 관한 작업 수행 방법 및 프로그램
CN113159571B (zh) * 2021-04-20 2024-08-27 中国农业大学 一种跨境外来物种风险等级判定及智能识别方法及系统
CN116103392A (zh) * 2021-11-09 2023-05-12 中国医学科学院药物研究所 标志物sema6b在制备结直肠癌诊断及预后预测产品中的用途

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3305919A1 (en) * 2003-06-10 2018-04-11 The Trustees of Boston University Detection methods for disorders of the lung
JP2006314315A (ja) * 2005-05-10 2006-11-24 Synergenz Bioscience Ltd 肺の機能と異常を調べるための方法と組成物
WO2007103541A2 (en) * 2006-03-09 2007-09-13 The Trustees Of Boston University Diagnostic and prognostic methods for lung disorders using gene expression profiles from nose epithelial cells
US20100055689A1 (en) * 2008-03-28 2010-03-04 Avrum Spira Multifactorial methods for detecting lung disorders
WO2010056374A2 (en) * 2008-11-17 2010-05-20 Veracyte, Inc. Methods and compositions of molecular profiling for disease diagnostics
WO2010099161A1 (en) * 2009-02-26 2010-09-02 The Ohio State University Research Foundation Micrornas in never-smokers and related materials and methods
US20120245952A1 (en) * 2011-03-23 2012-09-27 University Of Rochester Crowdsourcing medical expertise
EP2751290A4 (en) * 2011-08-29 2015-07-15 Cardiodx Inc METHOD AND COMPOSITIONS FOR DETERMINING A SMOKE STATUS
WO2014039859A1 (en) * 2012-09-06 2014-03-13 Duke University Diagnostic markers for platelet function and methods of use
PL3084664T3 (pl) * 2013-12-16 2020-10-05 Philip Morris Products S.A. Układy i sposoby do przewidywania statusu palenia u osobnika
EP3169814B1 (en) * 2014-07-14 2022-05-04 Veracyte, Inc. Methods for evaluating lung cancer status
EP3215170A4 (en) * 2014-11-05 2018-04-25 Veracyte, Inc. Systems and methods of diagnosing idiopathic pulmonary fibrosis on transbronchial biopsies using machine learning and high dimensional transcriptional data

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