Systems and methods for maintaining optimal growth in animals

Abstract

A software application platform which provides a user with the ability to receive customized information relating to an animal's health and/or optimal growth as displayed on a graphical user interface. Specifically, a user may input data (and the system may receive said input data), for example, an animal specific biomarker, and subsequently receive identification relating to a specific subgroup of individual animal(s) who are at risk for growth abnormalities, and further receive information, data, and customized recommendations and/or intervention steps for the specific at risk animal relating to the animal's health, growth abnormality, or similar feature based on an analysis and determination of the biomarker as compared to a reference database.

What is claimed is: 
     
         1 . A method of diagnosing growth abnormalities in order to maintain optimal growth in non-human animals, comprising:
 receiving one or more first biomarker inputs relating to a first animal;   comparing the one or more first biomarker inputs of the first animal to at least one predetermined reference biomarker input stored in a reference database in order to obtain relevant health trend information relating to the first animal, wherein the predetermined reference biomarker input includes related biomarker inputs of healthy animals of the same species or within the same growth period as the first animal;   determining, based on the comparing, whether the first animal is at risk for at least one growth abnormality;   providing a subject determined to be at risk for at least one growth abnormality with a customized recommendation for lifestyle treatment options, wherein the first biomarker input determined to be above or below the predetermined reference biomarker input indicates an increased likelihood in growth abnormalities in the first animal; and   displaying the customized recommendation and the relevant health trend information of the first animal on a graphical user interface.   
     
     
         2 . The method of  claim 1 , wherein the determining includes calculating a recommended growth weight of the first animal. 
     
     
         3 . The method of  claim 1 , wherein the customized recommendation is an intervention step for correction of the growth abnormality. 
     
     
         4 . The method of  claim 1 , wherein the one or more first biomarker inputs of the first animal include animal identification or approximate animal size, animal breed, sex, date of birth, age, weight, date of measurement, neutering, previous laboratory test results, food and water consumption patterns, diet, exercise routine, bowel movement schedule, medical history, and preexisting conditions. 
     
     
         5 . The method of  claim 4 , further comprising:
 calculating, based on the one or more first biomarker inputs of the first animal, the difference between the weight of the first animal and a recommended growth weight of an ideal animal of the same species in a similar growth stage as the first animal;   determining if the difference is within about two centiles of the recommended growth weight; and   displaying a recommendation on the graphical user interface based on the determination, wherein the recommendation includes a tailored intervention step if the difference is not within about two centiles of the recommended growth weight.   
     
     
         6 . The method of  claim 1 , further comprising:
 determining a body condition of the first animal based on the one or more first biomarker inputs; and   displaying the body condition of the first animal on the graphical user interface.   
     
     
         7 . The method of  claim 1 , further comprising:
 determining a projected growth potential of the first animal based on a comparison of the one or more first biomarker inputs and information stored in the reference database relating to the species or breed of the first animal; and   displaying the projected growth potential of the first animal on the graphical user interface.   
     
     
         8 . The method of  claim 1 , wherein the relevant health trend information includes a growth curve and ideal body weight chart. 
     
     
         9 . A computer system for diagnosing growth abnormalities in order to maintain optimal growth in non-human animals, comprising:
 a processor; and   a memory storing instructions that, when executed by the processor, cause the computer system to:
 receive one or more first biomarker inputs relating to a first animal; 
 compare the one or more first biomarker inputs of the first animal to at least one predetermined reference biomarker input stored in a reference database in order to obtain relevant health trend information relating to the first animal, wherein the predetermined reference biomarker input includes related biomarker inputs of healthy animals of the same species or within the same growth period as the first animal; 
 determine, based on the comparing, whether the first animal is at risk for at least one growth abnormality; 
 provide a subject determined to be at risk for at least one growth abnormality with a customized recommendation for lifestyle treatment options, wherein the first biomarker input determined to be above or below the predetermined reference biomarker input indicates an increased likelihood in growth abnormalities in the first animal; and 
 display the customized recommendation and the relevant health trend information of the first animal on a graphical user interface. 
   
     
     
         10 . The computer system of  claim 9 , wherein the determining includes calculating a recommended growth weight of the first animal. 
     
     
         11 . The computer system of  claim 9 , wherein the customized recommendation is an intervention step for correction of the growth abnormality. 
     
     
         12 . The computer system of  claim 9 , wherein the one or more first biomarker inputs of the first animal include animal identification or approximate animal size, animal breed, sex, date of birth, age, weight, date of measurement, neutering, previous laboratory test results, food and water consumption patterns, diet, exercise routine, bowel movement schedule, medical history, and preexisting conditions. 
     
     
         13 . The computer system of  claim 12 , wherein the instructions stored by the memory, when executed by the processor, further cause the computer system to:
 calculate, based on the one or more first biomarker inputs of the first animal, the difference between the weight of the first animal and a recommended growth weight of an ideal animal of the same species in a similar growth stage as the first animal;   determine if the difference is within about two centiles of the recommended growth weight; and   display a recommendation on the graphical user interface based on the determination, wherein the recommendation includes a tailored intervention step if the difference is not within about two centiles of the recommended growth weight.   
     
     
         14 . The computer system of  claim 9 , wherein the instructions stored by the memory, when executed by the processor, further cause the computer system to:
 determine a body condition of the first animal based on the one or more first biomarker inputs; and   display the body condition of the first animal on the graphical user interface.   
     
     
         15 . The computer system of  claim 9 , wherein the instructions stored by the memory, when executed by the processor, further cause the computer system to:
 determine a projected growth potential of the first animal based on a comparison of the one or more first biomarker inputs and information stored in the reference database relating to the species or breed of the first animal; and   display the projected growth potential of the first animal on the graphical user interface.   
     
     
         16 . The computer system of  claim 9 , wherein the relevant health trend information includes a growth curve and ideal body weight chart. 
     
     
         17 . A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause a computer system to diagnose growth abnormalities in order to maintain optimal growth in non-human animals, by performing the steps of:
 receiving one or more first biomarker inputs relating to a first animal;   comparing the one or more first biomarker inputs of the first animal to at least one predetermined reference biomarker input stored in a reference database in order to obtain relevant health trend information relating to the first animal, wherein the predetermined reference biomarker input includes related biomarker inputs of healthy animals of the same species or within the same growth period as the first animal;   determining, based on the comparing, whether the first animal is at risk for at least one growth abnormality;   providing a subject determined to be at risk for at least one growth abnormality with a customized recommendation for lifestyle treatment options, wherein the first biomarker input determined to be above or below the predetermined reference biomarker input indicates an increased likelihood in growth abnormalities in the first animal; and   displaying the customized recommendation and the relevant health trend information of the first animal on a graphical user interface.   
     
     
         18 . The non-transitory computer-readable medium of  claim 17 , wherein the determining includes calculating a recommended growth weight of the first animal. 
     
     
         19 . The non-transitory computer-readable medium of  claim 17 , wherein the customized recommendation is an intervention step for correction of the growth abnormality. 
     
     
         20 . The non-transitory computer-readable medium of  claim 17 , wherein the one or more first biomarker inputs of the first animal include animal identification or approximate animal size, animal breed, sex, date of birth, age, weight, date of measurement, neutering, previous laboratory test results, food and water consumption patterns, diet, exercise routine, bowel movement schedule, medical history, and preexisting conditions. 
     
     
         21 . The non-transitory computer-readable medium of  claim 20 , further comprising:
 calculating, based on the one or more first biomarker inputs of the first animal, the difference between the weight of the first animal and a recommended growth weight of an ideal animal of the same species in a similar growth stage as the first animal;   determining if the difference is within about two centiles of the recommended growth weight; and   displaying a recommendation on the graphical user interface based on the determination, wherein the recommendation includes a tailored intervention step if the difference is not within about two centiles of the recommended growth weight.   
     
     
         22 . The non-transitory computer-readable medium of  claim 17 , further comprising:
 determining a body condition of the first animal based on the one or more first biomarker inputs; and   displaying the body condition of the first animal on the graphical user interface.   
     
     
         23 . The non-transitory computer-readable medium of  claim 17 , further comprising:
 determining a projected growth potential of the first animal based on a comparison of the one or more first biomarker inputs and information stored in the reference database relating to the species or breed of the first animal; and   displaying the projected growth potential of the first animal on the graphical user interface.   
     
     
         24 . The non-transitory computer-readable medium of  claim 17 , wherein the relevant health trend information includes a growth curve and ideal body weight chart.