Invention Application
- Patent Title: MACHINE LEARNING QUANTIFICATION OF TARGET ORGANISMS USING NUCLEIC ACID AMPLIFICATION ASSAYS
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Application No.: US17431196Application Date: 2020-01-27
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Publication No.: US20220115092A1Publication Date: 2022-04-14
- Inventor: Wilfredo Dominguez-Nunez , Raj Rajagopal , Nicholas A. Asendorf , Saber Taghvaeeyan
- Applicant: 3M INNOVATIVE PROPERTIES COMPANY
- Applicant Address: US MN St. Paul
- Assignee: 3M INNOVATIVE PROPERTIES COMPANY
- Current Assignee: 3M INNOVATIVE PROPERTIES COMPANY
- Current Assignee Address: US MN St. Paul
- International Application: PCT/IB2020/050607 WO 20200127
- Main IPC: G16B40/20
- IPC: G16B40/20 ; G16B20/00 ; C12Q1/06

Abstract:
In some examples, a system for amplifying and quantifying a target organism present in a sample includes a detection device configured to amplify and detect a nucleic acid associated with the target organism. The detection device configured to receive a sample and to amplify nucleic acid in the sample over an amplification cycle. The detection device is configured to capture a data set including measurements of the nucleic acid collected during the amplification cycle. The system further includes a computing device configured to receive the data set and to apply a machine learning system to the data set. The machine learning system is trained to estimate a quantity of the target organism present in the sample based on the measurements in the data set.
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