Patents by Inventor John Jay BONIFACE

John Jay BONIFACE 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).

  • Publication number: 20230408530
    Abstract: The present invention provides compositions and methods for due date and time to birth prediction for a pregnancy with significantly higher accuracy than current clinical methods. The compositions and methods for due date and time to birth prediction for a pregnancy can also identify those pregnancies that will deliver earlier than the due date derived from LMP and/or US dating.
    Type: Application
    Filed: March 31, 2023
    Publication date: December 21, 2023
    Inventors: John Jay Boniface, Paul Edward Kearney, Julja Burchard, Gregory Charles Critchfield, Durlin Edward Hickok, Tracey Cristine Fleischer, Ashoka Dharmapriya Polpitiya
  • Patent number: 11662351
    Abstract: Compositions and methods for predicting due date and time to birth for a pregnancy with significantly higher accuracy than current clinical methods. The compositions and methods for predicting due date and time to birth for a pregnancy can also identify those pregnancies that will deliver earlier than the due date derived from Last Menstrual Period (LMP) and/or obstetric ultrasonography (US) dating.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: May 30, 2023
    Assignee: Sera Prognostics, Inc.
    Inventors: John Jay Boniface, Paul Edward Kearney, Julja Burchard, Gregory Charles Critchfield, Durlin Edward Hickok, Tracey Cristine Fleischer, Ashoka Dharmapriya Polpitiya
  • Publication number: 20220178938
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexpected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preterm birth, monitoring of progress of preterm birth in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: June 21, 2021
    Publication date: June 9, 2022
    Inventors: Durlin Edward Hickok, John Jay Boniface, Gregory Charles Critchfield, Tracey Cristine Fleischer
  • Publication number: 20220025462
    Abstract: The present invention provides compositions and methods for determining a pregnant female's risk of developing placental dysfunction later in the pregnancy.
    Type: Application
    Filed: December 9, 2019
    Publication date: January 27, 2022
    Inventors: John Jay Boniface, Julja Burchard, Ryan Michael Treacy, Louise C. Laurent
  • Publication number: 20210190792
    Abstract: The present invention provides compositions and methods for predicting the probability of preterm birth in a pregnant female. The present invention provides a composition comprising one or more biomarkers selected from the group consisting of the biomarkers set forth in FIGS. 1 and 2 and Tables 1 through 3, 6 through 38, and 44 through 68. In one embodiment, the invention provides a method of determining probability for preterm birth in a pregnant female, optionally preterm birth associated with preterm premature rupture of membranes (PPROM) or preterm birth associated idiopathic spontaneous labor (PTL), the method comprising measuring in a biological sample obtained from the pregnant female one or biomarkers selected from one or more of the biomarkers set forth in FIGS. 1 and 2 and Tables 1 through 3, 6 through 38, and 44 through 68 to determine the probability for preterm birth in said pregnant female.
    Type: Application
    Filed: August 5, 2020
    Publication date: June 24, 2021
    Inventors: John Jay Boniface, Julja Burchard, Gregory Charles Critchfield, Tracey Cristine Fleischer, Durlin Edward Hickok, Chien Hsu
  • Publication number: 20210180135
    Abstract: The disclosure provides a pair of isolated biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1, wherein the pair of biomarkers exhibits a change in reversal value between pregnant females at risk for pre-term birth and term controls. Also provided is a method of determining probability for preterm birth in a pregnant female, the method comprising measuring in a biological sample obtained from the pregnant female a reversal value for at least one pair of biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1 to determine the probability for preterm birth in the pregnant female.
    Type: Application
    Filed: March 1, 2021
    Publication date: June 17, 2021
    Inventors: John Jay Boniface, Andrew Gassman, Jeff Flick, Chad Bradford, Ashoka Polpitiya, Tracey Cristine Fleischer, Durlin Edward Hickok, Paul Kearney, Gregory Charles Critchfield
  • Publication number: 20210156870
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preeclampsia in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preeclampsia relative to matched controls. The present disclosure is further based, in part, on the unexepected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preeclampsia in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preeclampsia, monitoring of progress of preeclampsia in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: July 2, 2020
    Publication date: May 27, 2021
    Inventors: Durlin Edward Hickok, John Jay Boniface, Gregory Charles Critchfield, Tracey Cristine Fleischer
  • Patent number: 10961584
    Abstract: The disclosure provides a pair of isolated biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1, wherein the pair of biomarkers exhibits a change in reversal value between pregnant females at risk for pre-term birth and term controls. Also provided is a method of determining probability for preterm birth in a pregnant female, the method comprising measuring in a biological sample obtained from the pregnant female a reversal value for at least one pair of biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1 to determine the probability for preterm birth in the pregnant female.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: March 30, 2021
    Assignee: SERA PROGNOSTICS, INC.
    Inventors: John Jay Boniface, Andrew Gassman, Jeff Flick, Chad Bradford, Ashoka Polpitiya, Tracey Cristine Fleischer, Durlin Edward Hickok, Paul Kearney, Gregory Charles Critchfield
  • Publication number: 20200071761
    Abstract: The disclosure provides a pair of isolated biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1, wherein the pair of biomarkers exhibits a change in reversal value between pregnant females at risk for pre-term birth and term controls. Also provided is a method of determining probability for preterm birth in a pregnant female, the method comprising measuring in a biological sample obtained from the pregnant female a reversal value for at least one pair of biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1 to determine the probability for preterm birth in the pregnant female.
    Type: Application
    Filed: April 10, 2019
    Publication date: March 5, 2020
    Inventors: John Jay Boniface, Andrew Gassman, Jeff Flick, Chad Bradford, Ashoka Polpitiya, Tracey Cristine Fleischer, Durlin Edward Hickok, Paul Kearney, Gregory Charles Critchfield
  • Publication number: 20190376978
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexpected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preterm birth, monitoring of progress of preterm birth in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: January 23, 2019
    Publication date: December 12, 2019
    Inventors: Durlin Edward Hickok, John Jay Boniface, Gregory Charles Critchfield, Tracey Cristine Fleischer
  • Publication number: 20190369109
    Abstract: The present invention provides compositions and methods for predicting the probability of preterm birth in a pregnant female. The present invention provides a composition comprising one or more biomarkers selected from the biomarkers set forth in FIGS. 1, 3 through 12 and Tables 7 through 19, or optionally at least one pair of biomarkers selected from the biomarkers listed Tables 7 through 19, wherein the pair consists of one overexpressed and one underexpressed biomarker of the biomarkers set forth in Tables 7 through 19. In one embodiment, the invention provides a method of determining probability for preterm birth in a pregnant female, optionally in a pregnant female treated with a progestogen (e.g., 17-alpha hydroxyprogesterone caproate (17P)), the method comprising measuring in a biological sample obtained from the pregnant female one or biomarkers selected from the group consisting of one or more of the biomarkers of the invention.
    Type: Application
    Filed: December 21, 2018
    Publication date: December 5, 2019
    Inventors: John Jay Boniface, Julja Burchard, Gregory Charles Critchfield, Tracey Cristine Fleischer, Durlin Edward Hickok, Todd Lenwell Randolph, Babak Shahbaba
  • Publication number: 20190317107
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexepected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preterm birth, monitoring of progress of preterm birth in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: November 14, 2018
    Publication date: October 17, 2019
    Inventors: John Jay Boniface, Gregory Charles Critchfield, Durlin Edward Hickok
  • Patent number: 10392665
    Abstract: The disclosure provides a pair of isolated biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1, wherein the pair of biomarkers exhibits a change in reversal value between pregnant females at risk for pre-term birth and term controls. Also provided is a method of determining probability for preterm birth in a pregnant female, the method comprising measuring in a biological sample obtained from the pregnant female a reversal value for at least one pair of biomarkers selected from the group consisting of IBP4/SHBG, IBP4/PSG3, IBP4/LYAM1, IBP4/IGF2, CLUS/IBP3, CLUS/IGF2, CLUS/LYAM1, INHBC/PSG3, INHBC/IGF2, PSG2/LYAM1, PSG2/IGF2, PSG2/LYAM1, PEDF/PSG3, PEDF/SHBG, PEDF/LYAM1, CD14/LYAM1, and APOC3/LYAM1 to determine the probability for preterm birth in the pregnant female.
    Type: Grant
    Filed: June 17, 2016
    Date of Patent: August 27, 2019
    Assignee: Sera Prognostics, Inc.
    Inventors: John Jay Boniface, Andrew Gassman, Jeff Flick, Chad Bradford, Ashoka Polpitiya, Tracey Cristine Fleischer, Durlin Edward Hickok, Paul Kearney, Gregory Charles Critchfield
  • Publication number: 20190234954
    Abstract: The present invention provides compositions and methods for due date and time to birth prediction for a pregnancy with significantly higher accuracy than current clinical methods. The compositions and methods for due date and time to birth prediction for a pregnancy can also identify those pregnancies that will deliver earlier than the due date derived from LMP and/or US dating.
    Type: Application
    Filed: August 17, 2018
    Publication date: August 1, 2019
    Inventors: John Jay Boniface, Paul Edward Kearney, Julja Burchard, Gregory Charles Critchfield, Durlin Edward Hickok, Tracey Cristine Fleischer, Ashoka Dharmapriya Polpitiya
  • Publication number: 20190219588
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preeclampsia in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preeclampsia relative to matched controls. The present disclosure is further based, in part, on the unexepected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preeclampsia in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preeclampsia, monitoring of progress of preeclampsia in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: September 27, 2018
    Publication date: July 18, 2019
    Inventors: John Jay Boniface, Gregory Charles Critchfield, Durlin Edward Hickok
  • Publication number: 20190187145
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preeclampsia in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preeclampsia relative to matched controls. The present disclosure is further based, in part, on the unexpected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preeclampsia in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides disclosed herein serve as biomarkers for classifying test samples, predicting a probability of preeclampsia, monitoring of progress of preeclampsia in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: August 21, 2018
    Publication date: June 20, 2019
    Inventors: Durlin Edward Hickok, John Jay Boniface, Gregory Charles Critchfield, Tracey Cristine Fleischer
  • Publication number: 20180172696
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexepected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides dislosed herein serve as biomarkers for classifying test samples, predicting a probability of preterm birth, monitoring of progress of preterm birth in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: August 3, 2017
    Publication date: June 21, 2018
    Inventors: John Jay BONIFACE, Gregory Charles CRITCHFIELD, Durlin Edward HICKOK
  • Publication number: 20180172698
    Abstract: The present invention provides compositions and methods for predicting the probability of preterm birth in a pregnant female. The present invention provides a composition comprising one or more biomarkers selected from the group consisting of the biomarkers set forth in FIGS. 1 and 2 and Tables 1 through 3, 6 through 38, and 44 through 68. In one embodiment, the invention provides a method of determining probability for preterm birth in a pregnant female, optionally preterm birth associated with preterm premature rupture of membranes (PPROM) or preterm birth associated idiopathic spontaneous labor (PTL), the method comprising measuring in a biological sample obtained from the pregnant female one or biomarkers selected from one or more of the biomarkers set forth in FIGS. 1 and 2 and Tables 1 through 3, 6 through 38, and 44 through 68 to determine the probability for preterm birth in said pregnant female.
    Type: Application
    Filed: August 4, 2017
    Publication date: June 21, 2018
    Inventors: John Jay BONIFACE, Julja Burchard, Gregory Charles Critchfield, Tracey Cristine Fleischer, Durlin Edward Hickok, Chien Hsu
  • Publication number: 20180143202
    Abstract: The present invention provides compositions and methods for predicting the probability of preterm birth in a pregnant female. The present invention provides a composition comprising one or more biomarkers selected from the biomarkers set forth in FIGS. 1, 3 through 12 and Tables 7 through 19, or optionally at least one pair of biomarkers selected from the biomarkers listed Tables 7 through 19, wherein the pair consists of one overexpressed and one underexpressed biomarker of the biomarkers set forth in Tables 7 through 19. In one embodiment, the invention provides a method of determining probability for preterm birth in a pregnant female, optionally in a pregnant female treated with a progestogen (e.g., 17-alpha hydroxyprogesterone caproate (17P)), the method comprising measuring in a biological sample obtained from the pregnant female one or biomarkers selected from the group consisting of one or more of the biomarkers of the invention.
    Type: Application
    Filed: August 4, 2017
    Publication date: May 24, 2018
    Inventors: John Jay BONIFACE, Julja Burchard, Gregory Charles Critchfield, Tracey Cristine Fleischer, Durlin Edward Hickok, Todd Lenwell Randolph, Babak Shahbaba
  • Publication number: 20170146548
    Abstract: The disclosure provides biomarker panels, methods and kits for determining the probability for preterm birth in a pregnant female. The present disclosure is based, in part, on the discovery that certain proteins and peptides in biological samples obtained from a pregnant female are differentially expressed in pregnant females that have an increased risk of developing in the future or presently suffering from preterm birth relative to matched controls. The present disclosure is further based, in part, on the unexepected discovery that panels combining one or more of these proteins and peptides can be utilized in methods of determining the probability for preterm birth in a pregnant female with relatively high sensitivity and specificity. These proteins and peptides dislosed herein serve as biomarkers for classifying test samples, predicting a probability of preterm birth, monitoring of progress of preterm birth in a pregnant female, either individually or in a panel of biomarkers.
    Type: Application
    Filed: October 5, 2016
    Publication date: May 25, 2017
    Inventors: Durlin Edward HICKOK, John Jay BONIFACE, Gregory Charles CRITCHFIELD, Tracey Cristine FLEISCHER