ANIMAL HEALTH ASSESSMENT
The present teachings generally include techniques for characterizing the health of an animal (e.g., gastrointestinal health) using image analysis (e.g., of a stool sample) as a complement, alternative, or a replacement to biological specimen sequencing. The present teachings may also or instead include techniques for personalizing a health and wellness plan (including, but not limited to, a dietary supplement such as a customized formula based on a health assessment), where such a health and wellness plan may be based on one or more of the health characterization techniques described herein. The present teachings may also or instead include techniques or plans for continuous care for an animal, e.g., by executing health characterization and heath planning techniques in a cyclical fashion. A personalized supplement system (e.g., using a personalized supplement, personalized dosing device, and personalized packaging) may also or instead be created using the present teachings.
1 - 20 . (canceled)
21 . A method of analyzing an image to provide a health assessment of an animal, the method comprising:
receiving an image from a camera of a user device, the image including a biological sample of the animal;
identifying and extracting one or more regions of interest within the image for further analysis, the one or more regions of interest including at least a first region of interest having only the biological sample therein;
calculating one or more of a geometric attribute, a texture attribute, and a color attribute in the first region of interest to identify one or more features of the biological sample; and
applying a model to the one or more features of the biological sample, the model predicting a health characteristic of an animal from which the biological sample originated.
22 . The method of claim 21 , wherein the biological sample includes one or more of skin of the animal, fur of the animal, a portion of a mouth of the animal, a portion of an ear of the animal, a portion of an eye of the animal, and a portion of a nose of the animal.
23 . The method of claim 21 , wherein the biological sample is a portion of the animal.
24 . The method of claim 23 , wherein the portion of the animal is an external physiological area of the animal.
25 . The method of claim 24 , wherein the health characteristic is related to one or more of an indication of diet, an indication of metabolism, an indication of weight of the animal, and obesity.
26 . The method of claim 21 , wherein the biological sample includes one or more of urine, vomit, bile, blood, and biological discharge.
27 . The method of claim 21 , wherein the biological sample includes one or more of hair, a tooth, a gum, a tongue, a nose, an ear, an eye, a nail, and a throat of the animal.
28 . The method of claim 21 , wherein the biological sample includes one or more of a reproductive organ, an anus, a leg, and a paw of the animal.
29 . The method of claim 21 , wherein the biological sample includes one or more of a blood vessel, a muscle, a joint, and a tendon of the animal.
30 . The method of claim 21 , wherein the biological sample includes one or more of a tumor, a rash, an infection, a blemish, an injury, and a mutation of the animal.
31 . The method of claim 21 , further comprising providing a treatment in view of the health characteristic.
32 . The method of claim 31 , wherein the treatment includes a personalized product for the animal.
33 . The method of claim 32 , wherein the personalized product includes one or more of a food, a supplement, and a medicine.
34 . The method of claim 32 , wherein the personalized product includes one or more of a grooming product, a shampoo, a conditioner, a lotion, a cream, a medicine, an ear drop, an eye drop, a topical substance, a toothpaste, an oral rinse, and a chew.
35 . The method of claim 21 , wherein the one or more features are identified using a convolutional neural network (CNN) model.
36 . The method of claim 21 , further comprising receiving metadata associated with the image, the metadata including a questionnaire response related to one or more of a health, a behavior, a current diet, a supplement, a medication, ethnographic information, a breed, a weight of the animal, and a size of the animal, and wherein the metadata is used at least in part in predicting the health characteristic.
37 . A computer program product for analyzing an image to provide a health assessment of an animal, the computer program product comprising computer executable code embodied in a non-transitory computer readable medium that, when executing on one or more computing devices, performs the steps of:
receiving an image from a camera of a user device, the image including a biological sample of the animal;
identifying and extracting one or more regions of interest within the image for further analysis, the one or more regions of interest including at least a first region of interest having only the biological sample therein;
calculating one or more of a geometric attribute, a texture attribute, and a color attribute in the first region of interest to identify one or more features of the biological sample;
applying a model to the one or more features of the biological sample, the model predicting a health characteristic of an animal from which the biological sample originated; and
providing a treatment in view of the health characteristic.
38 . The computer program product of claim 37 , wherein the biological sample includes one or more of skin of the animal, fur of the animal, a portion of a mouth of the animal, a portion of an ear of the animal, a portion of an eye of the animal, and a portion of a nose of the animal.
39 . A system for analyzing an image to provide a health assessment of an animal, the system comprising:
a data network;
a user device coupled to the data network, the user device including a camera; and
a remote computing resource coupled to the data network and accessible to the user device through the data network, the remote computing resource including a processor and a memory, the memory storing code executable by the processor to perform the steps of:
receiving an image from the user device, the image including a biological sample of the animal;
identifying and extracting one or more regions of interest within the image for further analysis, the one or more regions of interest including at least a first region of interest having only the biological sample therein;
calculating one or more of a geometric attribute, a texture attribute, and a color attribute in the first region of interest to identify one or more features of the biological sample;
applying a model to the one or more features of the biological sample, the model predicting a health characteristic of an animal from which the biological sample originated; and
transmitting a treatment to the user device over the data network in view of the health characteristic.
40 . The system of claim 39 , wherein the biological sample includes one or more of skin of the animal, fur of the animal, a portion of a mouth of the animal, a portion of an ear of the animal, a portion of an eye of the animal, and a portion of a nose of the animal.