Patents by Inventor Carolyn M. Salafia

Carolyn M. Salafia 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: 20230005133
    Abstract: The present invention teaches a method of predicting the potential for manifestation of various medical conditions by analyzing human placenta comprising and including determining the need for early monitoring, intervention or potential treatment for medical conditions likely to manifest as a child grows older and investigating the potential for various medical conditions. The method includes selecting and identifying a sample of the placenta to analyze by algorithms and preparing the sample to be analyzed. The sample is captured by obtaining a three-dimensional digital image of the chorionic surface of the sample by a selected capturing device. The physician corrects for errors in the digital image and loads the data into a computer for analysis. The digital image data is analyzed using algorithms to determine the vascular structure of the placenta, which is interpreted and analyzed to determine the potential for manifestation of various medical conditions.
    Type: Application
    Filed: June 24, 2021
    Publication date: January 5, 2023
    Inventor: Carolyn M Salafia
  • Patent number: 10572808
    Abstract: Provided herein is a method, a programmed computer and an article of manufacture for predicting a prenatal, neonatal, obstetric or childhood clinical event, disease or disorder, as well as a method for generating in-utero fetal and placental growth curves, using a continuous recursive algorithm housed in a computer and data periodically collected during pregnancy.
    Type: Grant
    Filed: March 30, 2015
    Date of Patent: February 25, 2020
    Assignee: Montciair State University
    Inventors: Carolyn M. Salafia, Diana M. Thomas
  • Publication number: 20180365825
    Abstract: The present invention teaches a method of predicting the potential for manifestation of various medical conditions by analyzing human placenta. The method contemplates and includes determining the need for early monitoring, intervention or potential treatment for medical conditions likely to manifest as a child grows older and investigating the potential for various medical conditions. The method includes selecting and identifying a sample of the placenta to analyze by computer applied mathematical algorithms and preparing the placental sample to be analyzed by various procedures. Then the placental sample is captured by obtaining a three-dimensional digital image of the chorionic surface of the placental sample by use of a selected capturing device. The digital image is corrected for errors inherent in digital image acquisition and the resultant image data is loaded into a computer for analysis.
    Type: Application
    Filed: April 9, 2018
    Publication date: December 20, 2018
    Inventor: Carolyn M. Salafia
  • Publication number: 20170091402
    Abstract: Provided herein is a method, a programmed computer and an article of manufacture for predicting a prenatal, neonatal, obstetric or childhood clinical event, disease or disorder, as well as a method for generating in-utero fetal and placental growth curves, using a continuous recursive algorithm housed in a computer and data periodically collected during pregnancy.
    Type: Application
    Filed: March 30, 2015
    Publication date: March 30, 2017
    Inventors: Carolyn M. Salafia, Diana M. Thomas
  • Patent number: 9595099
    Abstract: A method for analyzing the placenta comprising: selecting one or more placental samples to be analyzed; preparing a histology slide of tissue taken from said placental sample, staining the histology slide using an immunohistochemistry stain, obtaining a digital image of the stained slide; and performing an automated computer analysis on the digital image, wherein the number of trophoblast stromal inclusions is measured.
    Type: Grant
    Filed: April 3, 2014
    Date of Patent: March 14, 2017
    Inventor: Carolyn M Salafia
  • Publication number: 20160035083
    Abstract: A method for analyzing the placenta comprising: selecting one or more placental samples to be analyzed; preparing a histology slide of tissue taken from said placental sample, staining the histology slide using an immunohistochemistry stain, obtaining a digital image of the stained slide; and performing an automated computer analysis on the digital image, wherein the number of trophoblast stromal inclusions is measured.
    Type: Application
    Filed: April 3, 2014
    Publication date: February 4, 2016
    Inventor: Carolyn M Salafia
  • Patent number: 8565507
    Abstract: A method for analyzing the placenta in two or three dimensions comprising: selecting one or more placental samples to be analyzed; obtaining a digital image of each placental sample; and performing an analysis on the digital images, wherein a mathematical algorithm is applied to the digital image. The results of the analysis are correlated with data on health outcomes in infants, children, or adults and are used to assess future health risks to a patient.
    Type: Grant
    Filed: March 5, 2010
    Date of Patent: October 22, 2013
    Assignee: University of Rochester
    Inventors: Carolyn M. Salafia, Richard K. Miller
  • Publication number: 20110081059
    Abstract: A method for analyzing the placenta in two or three dimensions comprising: selecting one or more placental samples to be analyzed; obtaining a digital image of each placental sample; and performing an analysis on the digital images, wherein a mathematical algorithm is applied to the digital image. Three dimensional scanning is also used to measure the 3-D placental shape. The results of the analysis are correlated with data on health outcomes in infants, children, or adults and are used to assess future health risks to a patient.
    Type: Application
    Filed: February 26, 2010
    Publication date: April 7, 2011
    Applicant: Placental Analytics, LLC
    Inventor: Carolyn M. SALAFIA
  • Publication number: 20110081056
    Abstract: A method for analyzing the placenta in two or three dimensions comprising: selecting one or more placental samples to be analyzed; obtaining a digital image of each placental sample; and performing an analysis on the digital images, wherein a mathematical algorithm is applied to the digital image. The results of the analysis are correlated with data on health outcomes in infants, children, or adults and are used to assess future health risks to a patient.
    Type: Application
    Filed: October 5, 2009
    Publication date: April 7, 2011
    Inventor: Carolyn M. Salafia
  • Publication number: 20100220916
    Abstract: A method for analyzing the placenta in two or three dimensions comprising: selecting one or more placental samples to be analyzed; obtaining a digital image of each placental sample; and performing an analysis on the digital images, wherein a mathematical algorithm is applied to the digital image. The results of the analysis are correlated with data on health outcomes in infants, children, or adults and are used to assess future health risks to a patient.
    Type: Application
    Filed: March 5, 2010
    Publication date: September 2, 2010
    Inventors: Carolyn M. SALAFIA, Richard K. Miller
  • Publication number: 20090290766
    Abstract: A method for analyzing the placenta and histology slides of placental tissue comprising: selecting a placental sample to be analyzed; obtaining a digital image of the placental sample; and performing an analysis on the digital image, wherein a mathematical algorithm is applied to the digital image. The results of the analysis are correlated with data on health outcomes in infants, children, or adults and are used to assess future physiological risks to a patient.
    Type: Application
    Filed: May 23, 2008
    Publication date: November 26, 2009
    Applicants: Placental Analytics, LLC., University of Rochester Medical Center
    Inventors: Carolyn M. Salafia, Richard K. Miller