发明申请
- 专利标题: PATHWAY ANALYSIS FOR IDENTIFICATION OF DIAGNOSTIC TESTS
- 专利标题(中): 路线分析诊断诊断测试
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申请号: US14320214申请日: 2014-06-30
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公开(公告)号: US20150006445A1公开(公告)日: 2015-01-01
- 发明人: Stephen Charles Benz , Shahrooz Rabizadeh , Christopher Szeto , Paul Weingarten , Chunlin Tao
- 申请人: Stephen Charles Benz , Shahrooz Rabizadeh , Christopher Szeto , Paul Weingarten , Chunlin Tao
- 主分类号: G06F19/00
- IPC分类号: G06F19/00 ; G06N5/04 ; G06N99/00
摘要:
The present inventive subject matter provides apparatus, systems, and methods in which a diagnostic test is identified, where the diagnostic test is for determining whether a particular treatment is effective for a particular patient based on one or more characteristics of a patient's cells. When a treatment is developed with the potential to treat one or more diseases, the drug can have different effects on different cell lines related to the diseases. A machine learning system is programmed to infer a measurable cell characteristic, out of many different measurable cell characteristics, that has a desirable correlation with the sensitivity data of different cell lines to a treatment. The machine learning system is programmed to then determine, based on the correlation, a threshold level of the cell characteristic the patient should exhibit in order to recommend administering the treatment.
公开/授权文献
- US11011273B2 Pathway analysis for identification of diagnostic tests 公开/授权日:2021-05-18
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