FRED W QUIMBY
Veterinary in New Durham, NH
License number
Massachusetts 2012
Issued Date
Feb 20, 1975
Expiration Date
Feb 28, 2017
Type
Veterinarian
Address
Address
New Durham, NH 03855
Professional information
Method For Diagnosis Of An Infectious Disease Stage And Determination Of Treatment
US Patent:
2009031, Dec 24, 2009
Filed:
Jun 24, 2008
Appl. No.:
12/145032
Inventors:
Ariel L. Rivas - Ithaca NY, US
Fred W. Quimby - New Durham NH, US
Michael G. Tokman - Ithaca NY, US
Fred W. Quimby - New Durham NH, US
Michael G. Tokman - Ithaca NY, US
International Classification:
A61B 5/00, G01N 33/50
US Classification:
702 19, 600300
Abstract:
The present invention relates to a means for determining if mammals within a group of mammals is affected by an infection that induces or could induce inflammation, if the mammal is likely to recover or not and if infected whether the mammal should be treated or let to recover untreated. By differentiating infected mammals in a group into different subsets representing differing stages of the progress of the disease the present invention teaches how to prognosticate with continuous data the outcome of a treatment/no treatment decision.
Method For Diagnosis Of An Infectious Disease Stage And Determination Of Treatment
US Patent:
2013019, Aug 1, 2013
Filed:
Jan 11, 2013
Appl. No.:
13/739150
Inventors:
Ariel L. Rivas - Albuquerque NM, US
Fred W. Quimby - New Durham NH, US
Michael Tokman - Ithaca NY, US
Fred W. Quimby - New Durham NH, US
Michael Tokman - Ithaca NY, US
International Classification:
G06F 19/00
US Classification:
702 19
Abstract:
The present invention relates to a means for determining if mammals within a group of mammals is affected by an infection that induces or could induce inflammation, if the mammal is likely to recover or not and if infected whether the mammal should be treated or let to recover untreated. By differentiating infected mammals in a group into different subsets representing differing stages of the progress of the disease the present invention teaches how to prognosticate with continuous data the outcome of a treatment/no treatment decision.