Eric Andrew Elster

US Patent:

20100182415, Jul 22, 2010

Filed:

Dec 9, 2009

Appl. No.:

12/634119

Inventors:

Eric A. Elster - Kensington MD, US
Doug K. Tadaki - Frederick MD, US
Nicole J. Crane - Silver Spring MD, US
Scott W. Huffman - Cullowhee NC, US
Ira W. Levin - Rockville MD, US

International Classification:

A61B 6/00
H04N 7/18

US Classification:

348 77, 600476, 348E07085

Abstract:

A system and method for real-time or near real-time monitoring of tissue/organ oxygenation through visual assessment of contrast enhanced images of the target area of tissue or organ. Video of a target tissue/organ was acquired during surgery, selected image frames were extracted. Each extracted image is separated into red, green and blue CCD responses. A modified contrast image was created by subtracting blue CCD responses from red CCD responses, and plotting the resultant image using a modified colormap. Overlaying said modified contrast image onto the original extracted image frame under a selected transparency range, and display it for review.

US Patent:

20110289035, Nov 24, 2011

Filed:

Apr 8, 2011

Appl. No.:

13/083090

Inventors:

Alexander Stojadinovic - Chevy Chase MD, US
Eric Elster - Kensington MD, US
Doug K. Tadaki - Frederick MD, US
Trevor Brown - Washington DC, US
Thomas A. Davis - Oak Hill VA, US
Jonathan Forsberg - Kensington MD, US
Jason Hawksworth - Silver Spring MD, US

International Classification:

G06N 5/00
G06F 17/00

US Classification:

706 45

Abstract:

An embodiment of the invention provides a method for determining a patient-specific probability of disease. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of the healing rate of an acute traumatic wound is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of the healing rate of an acute traumatic wound.

US Patent:

20110289036, Nov 24, 2011

Filed:

Apr 8, 2011

Appl. No.:

13/083184

Inventors:

Alexander Stojadinovic - Chevy Chase MD, US
Eric A. Elster - Kensington MD, US
Doug K. Tadaki - Frederick MD, US
Trevor Brown - Washington DC, US
Thomas A. Davis - Oak Hill VA, US
Jonathan Forsberg - Kensington MD, US
Jason Hawksworth - Silver Spring MD, US
Roslyn Mannon - Birmingham AL, US

International Classification:

G06N 5/00
G06F 17/00

US Classification:

706 45

Abstract:

An embodiment of the invention provides a method for determining a patient-specific probability of transplant glomerulopathy. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of transplant glomerulopathy is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of transplant glomerulopathy.

US Patent:

20110295782, Dec 1, 2011

Filed:

Oct 15, 2009

Appl. No.:

13/123406

Inventors:

Alexander Stojadinovic - Chevy Chase MD, US
Eric A. Elster - Kensington MD, US
Doug K. Tadaki - Frederick MD, US
Trevor S. Brown - Washington DC, US
Thomas A. Davis - Oak Hill VA, US
Jonathan Forsberg - Kensington MD, US
Jason Hawksworth - Silver Spring MD, US
Roslyn Mannon - Birmingham AL, US
Aviram Nissan - Aviram-Yehuda, IL

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

An embodiment of the invention provides a method for determining a patient-specific probability of disease. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of disease is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of disease.

US Patent:

20120076776, Mar 29, 2012

Filed:

Feb 4, 2011

Appl. No.:

13/021451

Inventors:

ERIC ELSTER - KENSINGTON MD, US
DOUG TADAKI - FREDERICK MD, US
JASON HAWKSWORTH - SILVER SPRING MD, US
THOMAS DAVIS - OAK HILL VA, US

International Classification:

A61K 39/395
A61P 29/00
A61P 43/00
A61K 31/137

US Classification:

4241331, 4241841, 4241731

Abstract:

A method for preventing inflammation, comprising administering to a subject a lymphocyte sequestrating or depletion agent before the onset of inflammation. A method for treating inflammation caused by an injury or an infection, comprising depleting immune lymphocyte of a subject by administering to said subject a lymphocyte sequestrating or depletion agent during or after said event. A method for preventing or treating abdominal adhesion comprising administering to a subject a lymphocyte sequestering or a lymphocyte depletion agent.

US Patent:

20210327540, Oct 21, 2021

Filed:

Aug 16, 2019

Appl. No.:

17/268882

Inventors:

- Bethesda MD, US
- Silver Spring MD, US
- Durham NC, US
- Atlanta GA, US
Christopher J. Dente - Atlanta GA, US
Timothy Buchman - Atlanta GA, US
Allan D. Kirk - Durham NC, US
Jonathan A. Forsberg - Silver Spring MD, US
Todd V. Brennan - Durham NC, US
Eric A. Elster - Bethesda MD, US

Assignee:

Henry M. Jackson Foundation for the Advancement of Military Medicine - Bethesda MD
Naval Medical Research Center - Silver Spring MD
Duke University Medical Center - Durham NC
Emory University - Atlanta GA

International Classification:

G16B 40/00
G16B 5/20
G06N 20/00
G16H 50/20
G16H 50/70
G16H 70/20
G16H 10/60
G16H 50/30
G16H 10/40

Abstract:

The present disclosure describes methods and systems for predicting if a subject has an increased risk of having or developing one or more clinical outcomes, including prior to the detection of symptoms thereof and/or prior to onset of any detectable symptoms thereof. The present disclosure also describes a method of generating a model for predicting one or more clinical outcomes.

US Patent:

20190354814, Nov 21, 2019

Filed:

Jan 5, 2018

Appl. No.:

16/476144

Inventors:

- Bethesda MD, US
Eric A. Elster - Kensington MD, US
Beverly J. Gaucher - Bethesda MD, US

Assignee:

Henry M. Jackson Foundation for the Advancement of Military Medicine - Bethesda MD

International Classification:

G06K 9/62
G16H 50/20
G06N 20/20
G06N 3/08

Abstract:

Described herein are systems and methods for determining if a subject has an increased risk of having or developing bacteremia or symptoms associated with bacteremia. Also described are systems and methods for predicting a bacteremia outcome for a subject, systems and methods for generating a model for predicting a bacteremia outcome in a subject, systems and method for determining a subject's risk profile for bacteremia, method of determining that a subject has an increased risk of developing bacteremia, and methods of treating a subject determined to have an elevated risk of developing bacteremia, methods of detecting panels of biomarkers in a subject, and methods of assessing risk factors in a subject having an injury, as well as related devices and kits.

US Patent:

20190355473, Nov 21, 2019

Filed:

Jan 5, 2018

Appl. No.:

16/476153

Inventors:

- Bethesda MD, US
Eric A. Elster - Kensington MD, US
Beverly J. Gaucher - Bethesda MD, US

Assignee:

Henry M. Jackson Foundation for the Advancement of Military Medicine - Bethesda MD

International Classification:

G16H 50/30
G16H 50/20

Abstract:

Described herein are systems and methods for determining if a subject has an increased risk of having or developing pneumonia or symptoms associated with pneumonia. Also described are systems and methods for predicting a pneumonia outcome for a subject, systems and methods for generating a model for predicting a pneumonia outcome in a subject, systems and method for determining a subject's risk profile for pneumonia, method of determining that a subject has an increased risk of developing pneumonia, and methods of treating a subject determined to have an elevated risk of developing pneumonia, methods of detecting panels of biomarkers in a subject, and methods of assessing risk factors in a subject having an injury, as well as related devices and kits.