- 专利标题: Multimodal machine learning based clinical predictor
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申请号: US16588289申请日: 2019-09-30
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公开(公告)号: US11462325B2公开(公告)日: 2022-10-04
- 发明人: Antoaneta Petkova Vladimirova , Yogesh P. Pandit , Vishakha Sharma , Tod M. Klingler , Hari Singhal
- 申请人: Roche Molecular Systems, Inc.
- 申请人地址: US CA Pleasanton
- 专利权人: Roche Molecular Systems, Inc.
- 当前专利权人: Roche Molecular Systems, Inc.
- 当前专利权人地址: US CA Pleasanton
- 代理机构: Kilpatrick Townsend and Stockton LLP
- 主分类号: G16H50/20
- IPC分类号: G16H50/20 ; G16H20/30 ; G16H10/40 ; G16H15/00 ; G16H50/30 ; G16B40/00 ; G16B20/00 ; G06T7/00 ; G06V20/69
摘要:
Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.
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