Matterworks Inc

John M Geremia

Jennifer M Campbell

Laura Kolinsky

Ana Henriques Da Costa

Mimoun Cadosch Delmar Akerman

Mark D Simon

Jefferson Pruyne

Timothy Kassis

Christopher Matthew Liu

Anastasia V Lioubomirov

Madeline Hartman

Scott Han

Mitchell Tyler Antalek

Maxwell B Hecht

Rudiger Hainz

Manuela Baur

Ian Tamburini

Ulrich Holler

Ghislain Schyns

Estel Canet-Martinez

Lisa Ann Laprade

Andrew O'connor

Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

Methods and compositions for analyte quantification

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Wayland, MA, United States of America

John M Geremia