- 专利标题: Precision treatment with machine learning and digital twin technology for optimal metabolic outcomes
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申请号: US16993184申请日: 2020-08-13
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公开(公告)号: US11723595B2公开(公告)日: 2023-08-15
- 发明人: Frederick Hadley , Thomas Alan Dunlap , Terrence Chun Yin Poon
- 申请人: TWIN HEALTH, INC.
- 申请人地址: US CA Mountain View
- 专利权人: TWIN HEALTH, INC.
- 当前专利权人: TWIN HEALTH, INC.
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fenwick & West LLP
- 优先权: IN 1941032787 2019.08.13 IN 1941037052 2019.09.14
- 主分类号: G16H15/00
- IPC分类号: G16H15/00 ; A61B5/00 ; A61B5/11 ; A61B5/145 ; G16H50/30 ; G16H40/67 ; G16H20/10 ; G16H20/60 ; G16H50/20 ; G16H10/40 ; G16H50/50 ; G16H10/60 ; G06N20/00 ; A61B5/0205
摘要:
A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve the determined metabolic state to the functional metabolic state.
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