Patents by Inventor Piya Chaemsaithong

Piya Chaemsaithong has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Kits and methods to distinguish false labor and true labor
    Patent number: 11906528
    Abstract: Kits and methods to distinguish between false and true labor are provided. The kits and methods can utilize differences in abundance and/or differences in the rate of change in abundance of B7-H2, SORC2, TF, C1-Esterase Inhibitor, Ran, IMDH1 and/or PGAM1, as markers of true labor.
    Type: Grant
    Filed: November 12, 2021
    Date of Patent: February 20, 2024
    Assignees: Wayne State University, The United States of America, as Represented by the Secretary, Department of Health & Human Services
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • KITS AND METHODS FOR PREDICTION AND TREATMENT OF PREECLAMPSIA
    Publication number: 20240027470
    Abstract: Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16th and 22nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.
    Type: Application
    Filed: October 6, 2023
    Publication date: January 25, 2024
    Applicants: Wayne State University, The United States of America, as Represented by the Secretary, Department of Health & Human Services
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • Kits and methods for prediction and treatment of preeclampsia
    Patent number: 11782065
    Abstract: Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16th and 22nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: October 10, 2023
    Assignees: Wayne State University, The United States of America, as Represented by the Secretary, Department of Health & Human Services
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • KITS AND METHODS FOR PREDICTION AND TREATMENT OF PREECLAMPSIA
    Publication number: 20220113316
    Abstract: Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16th and 22nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.
    Type: Application
    Filed: December 21, 2021
    Publication date: April 14, 2022
    Applicants: Wayne State University, The United States of America, as Represented by the Secretary, Department of Health & Human Services
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • KITS AND METHODS TO DISTINGUISH FALSE LABOR AND TRUE LABOR
    Publication number: 20220065867
    Abstract: Kits and methods to distinguish between false and true labor are provided. The kits and methods can utilize differences in abundance and/or differences in the rate of change in abundance of B7-H2, SORC2, TF, C1-Esterase Inhibitor, Ran, IMDH1 and/or PGAM1, as markers of true labor.
    Type: Application
    Filed: November 12, 2021
    Publication date: March 3, 2022
    Applicants: Wayne State University, The United States of America, as Represented by the Secretary, Department of Health & Human Service
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • Kits and methods for prediction and treatment of preeclampsia
    Patent number: 11243213
    Abstract: Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16th and 22nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.
    Type: Grant
    Filed: November 7, 2016
    Date of Patent: February 8, 2022
    Assignees: Wayne State University, The United States of America as Represented by the Secretary, Department of Health and Human Services
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • Kits and methods to distinguish false labor and true labor
    Patent number: 11204354
    Abstract: Kits and methods to distinguish between false and true labor are provided. The kits and methods can utilize differences in abundance and/or differences in the rate of change in abundance of B7-H2, SORC2, TF, C1-Esterase Inhibitor, Ran, IMD-H1 and/or PGAM1, as markers of true labor.
    Type: Grant
    Filed: November 7, 2016
    Date of Patent: December 21, 2021
    Assignees: Wayne State University, The United States of America, as Represented by the Secretary, Dept. of Health and Human Services
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • KITS AND METHODS FOR PREDICTION AND TREATMENT OF PREECLAMPSIA
    Publication number: 20180328937
    Abstract: Biomarkers tests which can be used to predict a positive or negative risk of preeclampsia are described. More specifically, a panel of biomarkers including MMP-7 and gpIIbIIIa, described. The test is useful to predict preeclampsia when a biological sample is obtained between the 16th and 22nd week of pregnancy. Prediction later in pregnancy can be achieved by a combination of Siglec-6, Activin A, ALCAM, and/or FCN2.
    Type: Application
    Filed: November 7, 2016
    Publication date: November 15, 2018
    Applicants: WAYNE STATE UNIVERSITY, THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICE
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero
  • KITS AND METHODS TO DISTINGUISH FALSE LABOR AND TRUE LABOR
    Publication number: 20180321250
    Abstract: Kits and methods to distinguish between false and true labor are provided. The kits and methods can utilize differences in abundance and/or differences in the rate of change in abundance of B7-H2, SORC2, TF, C1-Esterase Inhibitor, Ran, IMD-H1 and/or PGAM1, as markers of true labor.
    Type: Application
    Filed: November 7, 2016
    Publication date: November 8, 2018
    Applicants: WAYNE STATE UNIVERSITY, THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN
    Inventors: Adi L. Tarca, Piya Chaemsaithong, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Roberto Romero