US 2024/0102977 A1 · SAMPLE QUANTIFICATION CONSISTENCY AND CLASSIFICATION WORKFLOW

Abstract

The present technology relates to a method and instrument for classifying a sample. The method collects raw data from an analytical instrument (e.g., LC-MS), quantifies consistency parameters from the raw chromatographic data (e.g., peak detection) by assigning criteria and determining probability ratios, and constructs a learning model quantitation step by weighing the presence, absence, or modulation of one or more factors of the one or more samples against a decision criterion for positivity. The method can then apply the learning model to an unknown sample to detect the presence, absence, or modulation of one or more factors in the unknown sample such as the presence, absence, or modulation of a disease state or multiple disease states.

Claims23

Dependent claims

A mass spectrometer (“MS”)/liquid chromatography-mass spectrometer (“LC-MS”) instrument for quantifying and classifying samples comprising:

a processing device for executing computer readable instructions for performing a method of classifying samples, the method comprising:
collecting raw chromatographic data from one or more analytes of one or more samples;
quantifying consistency parameters from the raw chromatographic data by assigning criteria and determining probability ratios;
constructing a learning model quantitation step based on the quantified consistency parameters comprising weighing the presence, absence, or modulation of one or more factors of the one or more samples against a decision criterion for positivity;
and
applying the learning model to an unknown sample to detect the presence, absence, or modulation of the one or more factors in the unknown sample.

3 more elements

Dependencies are inferred from the claim text.

Sample quantification consistency and classification workflow

Life of this patent

Sample quantification consistency and classification workflow

Life of this patent

Abstract

Claims23