JP2018504138A5 - - Google Patents

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JP2018504138A5
JP2018504138A5 JP2017543316A JP2017543316A JP2018504138A5 JP 2018504138 A5 JP2018504138 A5 JP 2018504138A5 JP 2017543316 A JP2017543316 A JP 2017543316A JP 2017543316 A JP2017543316 A JP 2017543316A JP 2018504138 A5 JP2018504138 A5 JP 2018504138A5
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uip
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lung tissue
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JP2017543316A 2014-11-05 2015-11-05 機械学習および高次元転写データを使用して経気管支生検における特発性肺線維症を診断するシステムおよび方法 Active JP7356788B2 (ja)

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JP2021117469A JP2021164484A (ja) 2014-11-05 2021-07-15 機械学習および高次元転写データを使用して経気管支生検における特発性肺線維症を診断するシステムおよび方法

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US201462075328P 2014-11-05 2014-11-05
US62/075,328 2014-11-05
US201562130800P 2015-03-10 2015-03-10
US62/130,800 2015-03-10
PCT/US2015/059309 WO2016073768A1 (en) 2014-11-05 2015-11-05 Systems and methods of diagnosing idiopathic pulmonary fibrosis on transbronchial biopsies using machine learning and high dimensional transcriptional data

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JP2018504138A JP2018504138A (ja) 2018-02-15
JP2018504138A5 true JP2018504138A5 (enExample) 2018-12-20
JP7356788B2 JP7356788B2 (ja) 2023-10-05

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JP2021117469A Pending JP2021164484A (ja) 2014-11-05 2021-07-15 機械学習および高次元転写データを使用して経気管支生検における特発性肺線維症を診断するシステムおよび方法

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US (4) US20170335396A1 (enExample)
EP (2) EP3215170A4 (enExample)
JP (2) JP7356788B2 (enExample)
CN (2) CN114606309A (enExample)
WO (1) WO2016073768A1 (enExample)

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CN111401214B (zh) * 2020-03-12 2023-04-18 四川大学华西医院 一种基于深度学习的多分辨率集成her2判读方法
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