Robert Leon Doss

US Patent:

20210270840, Sep 2, 2021

Filed:

Dec 23, 2020

Appl. No.:

17/133195

Inventors:

- Louisville KY, US
Zhen ZHANG - Dayton MD, US
Kevin S. GOUDY - Decatur GA, US
Robert C. DOSS - Lexington KY, US
Alan M. EZRIN - Miami FL, US
Kevin Paul ROSENBLATT - Bellaire TX, US

International Classification:

G01N 33/68
B01D 61/14
G01N 30/02

Abstract:

The present disclosure relates to proteomic biomarkers of spontaneous preterm birth, proteomic biomarkers of term birth, and methods of use thereof. In particular, the present disclosure provides tools for determining whether a pregnant subject is at an increased risk for premature delivery, as well as tools for decreasing a pregnant subject's risk for premature delivery.

US Patent:

20210057039, Feb 25, 2021

Filed:

Jul 31, 2020

Appl. No.:

16/945644

Inventors:

- Louisville KY, US
Zhen ZHANG - Dayton MD, US
Robert C. DOSS - Lexington KY, US
Kevin Paul ROSENBLATT - Bellaire TX, US

International Classification:

G16B 5/20
G16B 40/00
G16H 50/30
G06N 20/00

Abstract:

The present disclosure relates to systems and methods of using machine learning analysis to stratify the risk of spontaneous preterm birth (SPTB). In some variations, to select informative markers that differentiate SPTB from term deliveries, a processed quantification data of the markers can be subjected to univariate receiver operating characteristic (ROC) curve analysis. A Differential Dependency Network (DDN) can then applied in order to extract co-expression patterns among the markers. In order to assess the complementary values among selected markers and the range of their relevant performance, multivariate linear models can be derived and evaluated using bootstrap resampling.

US Patent:

20190041391, Feb 7, 2019

Filed:

Jun 4, 2018

Appl. No.:

15/997540

Inventors:

- Louisville KY, US
Zhen ZHANG - Dayton MD, US
Kevin S. GOUDY - Decatur GA, US
Robert C. DOSS - Lexington KY, US
Alan M. EZRIN - Miami FL, US
Kevin Paul ROSENBLATT - Bellaire TX, US

International Classification:

G01N 33/68
B01D 61/14
G01N 30/02

Abstract:

The present disclosure relates to proteomic biomarkers of spontaneous preterm birth, proteomic biomarkers of term birth, and methods of use thereof. In particular, the present disclosure provides tools for determining whether a pregnant subject is at an increased risk for premature delivery, as well as tools for decreasing a pregnant subject's risk for premature delivery.