Carolyn M. Salafia - Larchmont NY, US Richard K. Miller - Pittsford NY, US
Assignee:
University of Rochester - Rochester NY
International Classification:
G06K 9/00 A61B 10/00
US Classification:
382133, 382134, 600562
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.
Carolyn M. Salafia - Mamaroneck NY, US Richard K. Miller - Pittsford NY, US
Assignee:
Placental Analytics, LLC. - Mamaroneck NY University of Rochester Medical Center - Rochester NY
International Classification:
G06K 9/62
US Classification:
382128
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.
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.
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.
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.
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. The computer performs an analysis on the corrected digital image data using one or more algorithms to determine the vascular structure of the placenta, and the resultant data is interpreted and analyzed to determine the potential for manifestation of various medical conditions.
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.
License Records
Carolyn M Salafia
Address:
93 Colonial Ave, Larchmont, NY
Phone:
914 834-3764
License #:
834 - Expired
Category:
Health Care
Issued Date:
Nov 20, 2012
Effective Date:
Dec 2, 2014
Expiration Date:
Nov 19, 2014
Type:
Medical Doctor Expert Witness Certificate
Carolyn M Salafia
Address:
93 Colonial Ave, Larchmont, NY
Phone:
914 834-3764
License #:
2568 - Expired
Category:
Health Care
Issued Date:
Jan 28, 2015
Effective Date:
Jan 30, 2017
Expiration Date:
Jan 27, 2017
Type:
Medical Doctor Expert Witness Certificate
Carolyn M Salafia
Address:
187 Overlook Cir, New Rochelle, NY
Phone:
914 356-5606
License #:
4548 - Active
Category:
Health Care
Issued Date:
Feb 24, 2017
Effective Date:
Feb 24, 2017
Expiration Date:
Feb 23, 2019
Type:
Medical Doctor Expert Witness Certificate
Medicine Doctors
Dr. Carolyn M Salafia, Bronx NY - MD (Doctor of Medicine)
Bronx Lebanon OB/GYN Group 1650 Grand Concourse, Bronx, NY 10457
Bronx - Lebanon Hospital Center 1650 Grand Concourse, Bronx, NY 10457
Education:
Medical School Duke University School Of Medicine Graduated: 1979 Medical School Barnes Jewish Hospital Graduated: 1982 Medical School Yale Affil Hosps Graduated: 1984 Medical School Danbury Hospital Columbia University Graduated: 1985