Methods and systems for managing risks for agricultural systems include receiving an agricultural system unit (ASU) selection for an ASU associated with an agroforestry agricultural system, and accessing an analysis for a plant corresponding to the ASU selection based on a selection type of the ASU selection. An assessment associated with the plant corresponding to the ASU selection may be accessed based on the analysis and the selection type, and a need for a risk mitigating technique based on the analysis and/or the assessment may be determined. Results of processing the ASU selection may be indicated in a graphical user interface (GUI) based on the selection type. Plants of the agroforestry agricultural system may include cocoa trees.
The present disclosure relates to a computer-implemented method for determining a risk of occurrence of diabetes in a feline including the steps of determining the risk of occurrence of diabetes in the said feline, so as to assess whether the said feline can be prediabetic and determining a risk of occurrence of diabetes within a time interval for the said feline, when determined as being prediabetic. It also pertains to a method for generating a machine learning system suitable for determining the risk of occurrence of diabetes in a feline as well as a computer-implemented system for determining the risk of occurrence of diabetes in a feline.
G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
3.
CAT FOOD COMPOSITIONS FOR TREATING CHRONIC KIDNEY DISEASE
The present disclosure relates to food compositions comprising an effective amount of one or more tripolyphosphate salt, as a source of inorganic phosphorus, for use in a method for treating and/or delaying the progression of chronic kidney disease in a cat in need thereof.
Agricultural, horticultural and forestry products, grains and seeds; live animals, birds and fish; cuttlefish bone; bones for dogs; edible chews for animals; products for animal litter; fresh fruits and vegetables; foodstuffs and beverages for animals, birds and fish.
6.
SYSTEMS AND METHODS FOR GENERATING PET LIKELIHOOD SCORES FOR DISEASES, CLINICAL CONDITIONS AND TRAITS
Systems and methods for generating a likelihood score that is indicative of a likelihood of a pet developing at least one of a disease, a clinical condition or other trait are disclosed. An example method may include: receiving, at a server system, pet data associated with the pet, wherein the pet data includes genetic data and breed data; generating, using a processor of the server system, a likelihood score for the pet associated with the clinical condition by applying the pet data to a trained machine learning model, wherein the trained machine learning model is trained to predict likelihood scores for the clinical condition; and causing, by the processor of the server system, a visual representation of the likelihood score to be displayed on a user device, wherein the visual representation includes an indication of the likelihood of the pet developing the clinical condition. Other aspects are described and claimed.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
7.
PET FOOD COMPOSITIONS AND METHODS FOR MODIFYING STOOL QUALITY
Hydrolyzed keratin-containing materials, methods of preparing such materials, and compositions that include such materials are described. The method can include combining a keratin-containing material with an acid, processing the keratin-containing material by steam hydrolysis, and reducing a particle size of the keratin-containing material. The hydrolyzed keratin-containing material can include 1.0% by weight or less of lanthionine, relative to the total weight of the hydrolyzed keratin-containing material.
A23K 20/147 - Polymeric derivatives, e.g. peptides or proteins
A23K 10/26 - Animal feeding-stuffs from material of animal origin from waste material, e.g. feathers, bones or skin
A23K 10/30 - Animal feeding-stuffs from material of plant origin, e.g. roots, seeds or hayAnimal feeding-stuffs from material of fungal origin, e.g. mushrooms
A23K 20/158 - Fatty acidsFatsProducts containing oils or fats
A23K 40/00 - Shaping or working-up of animal feeding-stuffs
Systems and methods for generating a likelihood score that is indicative of a likelihood of a pet developing at least one of a disease, a clinical condition or other trait are disclosed. An example method may include: receiving, at a server system, pet data associated with the pet, wherein the pet data includes genetic data and breed data; generating, using a processor of the server system, a likelihood score for the pet associated with the clinical condition by applying the pet data to a trained machine learning model, wherein the trained machine learning model is trained to predict likelihood scores for the clinical condition; and causing, by the processor of the server system, a visual representation of the likelihood score to be displayed on a user device, wherein the visual representation includes an indication of the likelihood of the pet developing the clinical condition. Other aspects are described and claimed.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16B 20/20 - Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Spirulina Galdieria sulphuraria Galdieria sulphuraria, and may provide similar color characteristics to color characteristics provided by the synthetic blue colorant, FD&C Blue No. 1.
A23G 1/48 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
A23G 3/48 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
A23L 5/42 - Addition of dyes or pigments, e.g. in combination with optical brighteners
A23L 5/43 - Addition of dyes or pigments, e.g. in combination with optical brighteners using naturally occurring organic dyes or pigments, their artificial duplicates or their derivatives
C09B 61/00 - Dyes of natural origin prepared from natural sources
A computer-implemented method for cytological grading includes receiving (302, 402) first image data (102) representing a biological sample, and parsing (304, 404) the received first image data into a plurality of tiles (104). Each of the plurality of tiles represents a respective portion of the received first image data. The method also includes identifying (306, 406), using a first trained machine learning model (106), at least one cytological feature (108) for each of the plurality of tiles, determining (308, 408), using a second trained machine learning model, at least one statistic (110) based on the identified at least one cytological feature for each of the plurality of tiles, and outputting (310, 410) the determined at least one statistic.
29 - Meat, dairy products, prepared or preserved foods
30 - Basic staples, tea, coffee, baked goods and confectionery
Goods & Services
Meat; poultry; vegetables, cooked; processed fruits, fungi and vegetables (including nuts and pulses); processed vegetables; processed legumes; processed lentils; processed chickpeas; processed beans; beans in sauce; snack foods based on vegetables; pre-cooked curry stew; vegetarian chili; chili con carne; prepared dishes consisting principally of meat; prepared vegetable dishes; prepared meals consisting primarily of meat; prepared meals consisting primarily of meat substitutes; prepared meals consisting primarily of poultry; prepared meals consisting primarily of vegetables; frozen meals consisting primarily of vegetables; frozen meals consisting primarily of meat; frozen meals consisting primarily of meat substitutes; frozen meals consisting primarily of poultry; ready cooked meals consisting primarily of meat; ready cooked meals consisting primarily of meat substitutes; ready cooked meals consisting primarily of poultry; ready cooked meals consisting primarily of vegetables Rice; pasta; noodles; Dumplings, namely, Chinese stuffed dumplings, Chinese steamed dumplings, Korean-style dumplings, Japanese-style dumplings, flour-based dumplings, flour-based stuffed dumplings, flour-based steamed dumplings, flour-based dumplings stuffed with meat, flour-based dumplings stuffed with poultry, flour-based dumplings stuffed with seafood, and flour-based dumplings stuffed with vegetables; preparations made from cereals, namely, stuffing mixes containing bread, boa buns, steamed buns, steamed buns stuffed with meat, steamed buns stuffed with poultry, steamed buns stuffed with seafood, steamed buns stuffed with vegetables, egg rolls, and spring rolls; processed grains; processed cereals; processed grains, starches, and goods made thereof, namely, boa buns, steamed buns, steamed buns stuffed with meat, steamed buns stuffed with poultry, steamed buns stuffed with seafood, steamed buns stuffed with vegetables, egg rolls, and spring rolls; whole grain rice; long grain rice; wild rice; brown rice; basmati rice; parboiled rice; risotto; rice mixes; packaged meal mixes consisting primarily of rice; processed quinoa; pasta-based prepared meals; rice-based prepared meals; noodle-based prepared meals; instant noodles; instant rice; cereal-based snack food; rice-based snack food; snack foods consisting principally of pasta; snack foods consisting principally of rice; Prepared, ready-to-eat or packaged meals consisting primarily of pasta; Prepared, ready-to-eat or packaged meals consisting primarily of rice; Prepared, ready-to-eat or packaged meals consisting primarily of processed grains; Prepared, ready-to-eat or packaged meals consisting primarily of processed cereals; Prepared, ready-to-eat or packaged meals consisting primarily of quinoa; Prepared, ready-to-eat or packaged meals consisting primarily of noodles; processed grains combined in unitary packages with seasonings and flavorings; processed cereals combined in unitary packages with seasonings and flavorings; processed quinoa and cereals combined in unitary packages with seasonings and flavorings; processed quinoa and cereals combined in unitary packages with edible seeds, pulses, legumes, or vegetables; rice combined in unitary packages with seasonings and flavorings; processed grains combined in unitary packages with edible seeds, pulses, legumes, or vegetables; processed cereals combined in unitary packages with edible seeds, pulses, legumes, or vegetables; processed quinoa combined in unitary packages with edible seeds, pulses, legumes, or vegetables; rice combined in unitary packages with edible seeds, pulses, legumes, or vegetables; pasta combined in unitary packages with edible seeds, pulses, legumes, or vegetables; noodles combined in unitary packages with edible seeds, pulses, legumes, or vegetables; frozen meals consisting primarily of pasta; frozen meals consisting primarily of rice; frozen meals consisting primarily of processed grains; frozen meals consisting primarily of processed cereals; frozen meals consisting primarily of quinoa; frozen meals consisting primarily of noodles; Frozen, prepared, ready-to-eat or packaged meals consisting of processed grains and one or more of the following: meat, poultry, seafood, vegetables, or sauce; Frozen, prepared, ready-to-eat or packaged meals consisting of processed cereals and one or more of the following: meat, poultry, seafood, vegetables, or sauce; Frozen, prepared, ready-to-eat or packaged meals consisting of rice and one or more of the following: meat, poultry, seafood, vegetables, or sauce; Frozen, prepared, ready-to-eat or packaged meals consisting of noodles and one or more of the following: meat, poultry, seafood, vegetables, or sauce; Bibimbap-style meals consisting of rice and one or more of the following: meat, poultry, seafood, or vegetables
15.
COMPOUNDS THAT MODULATE GPR92 RECEPTOR ACTIVITY AND PET FOOD PRODUCTS CONTAINING THE SAME
A flavor composition comprising at least one compound that modulates, increases and/or enhances the activity of a GPR92 receptor that can be used to enhance palatability of pet food products is described herein. Also disclosed herein are methods for identifying said compounds.
29 - Meat, dairy products, prepared or preserved foods
30 - Basic staples, tea, coffee, baked goods and confectionery
Goods & Services
(1) Meat; fish (not live); poultry; game (not live); meat extracts; charcuterie; meat substitutes; frozen vegetables; preserved vegetables; vegetables, dried; vegetables, cooked, namely, packaged cooked vegetables; fruit, preserved; dried fruit; frozen fruits; Cooked fruits, namely, packaged cooked fruits; processed fruits, fungi, and vegetables, namely, freeze-dried fruits, canned fruits and frozen fruits, freeze-dried vegetables, canned vegetables, dried edible fungi, preserved and dried mushrooms, processed pulses; processed legumes; processed lentils; processed chickpeas, namely, canned chickpeas, dried chickpeas, packaged cooked chickpeas, and chickpea-based prepared meals; processed beans; baked beans; beans in sauce; soya beans, preserved, for food; tofu; whey; formed textured vegetable protein for use as a meat substitute; tomato puree; vegetable puree; tomato juice for cooking; tinned tomatoes; vegetable juices for cooking; pickles; preparations for making soup; soups; prepared stocks; preparations for making bouillon; bouillon; potato crisps; jellies, jams, compotes, fruit and vegetable spreads; eggs; dairy products and dairy substitutes; milk; milk substitutes; coconut milk; rice milk; soya milk; cheese; yoghurt; edible oils and fats; coconut oil for food; chili oil, namely, oil infused with chili pepper; soybean oil; corn oil; sesame oil; spiced oils; flavoured edible oils; coconut fat; vegetable fats for food; dips, namely, bean dips, cheese dips, herbs and spice dips, meat dips, nut-based dips, onion dips, tomato dips, vegetable-based dips; processed nuts; nut-based spreads; seeds, prepared namely, prepared chia seeds, hemp seeds, pumpkin seeds, sesame seeds and sunflower seeds; fruit-based snack food; dairy based snack foods; snack foods based on legumes; snack foods based on nuts; snack foods based on vegetables; pre-cooked curry stew; vegetarian chili; chili con carne; prepared dishes consisting principally of meat; prepared salads, namely, garden salads, legume salads and vegetable salads; prepared vegetable dishes; prepared meals consisting primarily of meat; prepared meals consisting primarily of meat substitutes; prepared meals consisting primarily of poultry; prepared meals consisting primarily of vegetables; prepared meals consisting primarily of fish; frozen meals consisting primarily of vegetables; frozen meals consisting primarily of meat; frozen meals consisting primarily of meat substitutes; frozen meals consisting primarily of fish; frozen meals consisting primarily of poultry; ready cooked prepared meals consisting primarily of meat; ready cooked prepared meals consisting primarily of meat substitutes; ready cooked prepared meals consisting primarily of poultry; ready cooked prepared meals consisting primarily of vegetables; ready cooked prepared meals consisting primarily of fish
(2) Coffee; tea; cocoa; rice; pasta; noodles; dumplings; vermicelli; couscous [semolina]; flour; preparations made from cereals, namely, stuffing mixes containing bread, boa buns, steamed buns, steamed buns stuffed with meat, steamed buns stuffed with poultry, steamed buns stuffed with seafood, steamed buns stuffed with vegetables, egg rolls, and spring rolls; processed grains, namely, amaranth, buckwheat, cañihua, quinoa, and processed cereal grains, namely, barley, bulgur, milled maize (corn), hulled millet, finger millet, pearled millet, oats, rice, cracked rye, sorghum, teff, wheat, and wheat berries; processed cereals, namely, ready-to-eat cereals; processed grains, starches, and goods made thereof, namely, boa buns, steamed buns, steamed buns stuffed with meat, steamed buns stuffed with poultry, steamed buns stuffed with seafood, steamed buns stuffed with vegetables, egg rolls, and spring rolls; whole grain rice; long grain rice; wild rice; brown rice; basmati rice; parboiled rice; risotto; baking preparations and yeasts; doughs, batters, and mixes therefor; rice mixes; packaged meal mixes consisting primarily of rice; packaged meal mixes consisting primarily of pasta; processed quinoa; bread; pastries; confectionery; cakes; tarts; biscuits; pizzas; pies; ice cream; puddings; edible ices; popcorn; grain-based chips; condiments, namely, ketchup, mustard, mayonnaise, relishes; sauces, namely, gravy sauce, hot sauce, salad sauces, soy sauce, tomato sauce, pasta sauces, stir-fry sauces, curry sauces, butter chicken sauce, tikka masala sauce, korma sauce, sweet and sour sauces, sauces for meat, and vegetable sauces; cooking sauces, namely, curry sauce, butter chicken sauce, tikka masala sauce, korma sauce, fish sauce, meat sauce, marinara sauce, oyster sauce, pasta sauce, tomato sauce; preparations for making up into sauces, namely, sauce mixes; curry sauces; pasta sauces; pasta bake sauces; chili sauce; soy sauce; hot sauce; sweet and sour sauce; spicy chicken cooking sauces; savoury sauces, namely, kung pao sauce; sauces for rice; sauce powders; mixes for preparing sauces; flavourings in the form of concentrated sauces; prepared foodstuffs in the form of concentrated sauces; marinades; salad dressings; chutneys; farinaceous food pastes; relishes; gravy mixes; thickeners for cooking foodstuffs; pesto sauce; tomato sauce; mustard; vinegar; salt; spices; seasonings; culinary herbs, namely, dried herbs for food purposes; processed garlic for use as seasoning; processed ginger for use as seasoning; minced ginger; seasoning pastes; pepper; chili seasoning; chili paste for use as a seasoning; aromatic preparations for food, namely, spices; flavourings for foods, namely, flavourings for bread, flavourings for butter, flavourings for cheeses, flavourings for soups, vegetable flavourings; spice mixes; spice preparations, namely, spices, marinades, seasonings, spice blends; spice extracts for flavouring food; spice rubs; curry mixes; pasta-based prepared meals; rice-based prepared meals; noodle-based prepared meals; instant noodles; instant rice; cereal-based snack food; rice-based snack food; snack foods consisting principally of pasta; snack foods consisting principally of rice; prepared, ready-to-eat or packaged meals consisting primarily of pasta; prepared, ready-to-eat or packaged meals consisting primarily of rice; frozen, prepared, ready-to-eat or packaged meals consisting of rice and one or more of meat, poultry, seafood, vegetables, and sauce; prepared, ready-to-eat or packaged meals consisting primarily of processed grains, namely, amaranth, buckwheat, cañihua, quinoa and processed cereal grains, namely, barley, bulgur, milled maize (corn), hulled millet, finger millet, pearled millet, oats, rice, cracked rye, sorghum, teff, wheat, and wheat berries; prepared, ready-to-eat or packaged meals consisting primarily of processed grains and one or more of meat, poultry, seafood, vegetables and sauce; prepared, ready-to-eat or packaged meals consisting primarily of processed cereals, namely, ready-to-eat cereals; prepared, ready-to-eat or packaged meals consisting primarily of processed cereals and one or more of meat, poultry, seafood, vegetables and sauce; prepared, ready-to-eat or packaged meals consisting primarily of quinoa; prepared, ready-to-eat or packaged meals consisting primarily of noodles; prepared, ready-to-eat or packaged meals consisting primarily of noodles and one or more of meat, poultry, seafood, vegetables and sauce; processed grains, namely, amaranth, buckwheat, cañihua, quinoa and processed cereal grains, namely, barley, bulgur, milled maize (corn), hulled millet, finger millet, pearled millet, oats, rice, cracked rye, sorghum, teff, wheat, and wheat berries, combined with seasonings and flavourings; processed cereals, namely, ready-to-eat cereals, combined with seasonings and flavourings; processed quinoa combined with seasonings and flavorings; rice combined in unitary packages with seasonings and flavourings; processed grains, namely, amaranth, buckwheat, cañihua, quinoa and processed cereal grains, namely, barley, bulgur, milled maize (corn), hulled millet, finger millet, pearled millet, oats, rice, cracked rye, sorghum, teff, wheat, and wheat berries, combined in unitary packages with one or more of the following edible seeds, pulses, legumes, or vegetables; processed cereals, namely, ready-to-eat cereals, combined in unitary packages with one or more of the following edible seeds, pulses, legumes, or vegetables; processed quinoa combined in unitary packages with one or more of the following edible seeds, pulses, legumes, or vegetables; rice combined in unitary packages with one or more of the following edible seeds, pulses, legumes, or vegetables; pasta combined in unitary packages with one or more of the following edible seeds, pulses, legumes, or vegetables; noodles combined in unitary packages with one or more of the following edible seeds, pulses, legumes, or vegetables; frozen meals consisting primarily of pasta; frozen meals consisting primarily of rice; frozen meals consisting primarily of processed grains, namely, amaranth, buckwheat, cañihua, quinoa and processed cereal grains, namely, barley, bulgur, milled maize (corn), hulled millet, finger millet, pearled millet, oats, rice, cracked rye, sorghum, teff, wheat, and wheat berries; frozen meals consisting primarily of processed cereals, namely, ready-to-eat cereals; frozen meals consisting primarily of quinoa; frozen meals consisting primarily of noodles;
Methods and systems for authenticating or identifying a food source for a food product are disclosed herein. Also disclosed herein are methods and systems for detecting a contaminant in a food product. The methods comprise obtaining sequence data for a plurality of nucleic acid sequences present in a food product, identifying one or more microbial signatures, wherein the one or more microbial signatures correspond to one or more microbes present in the food product, and determining whether the one or more microbial signatures correspond to one or more microbes associated with a particular food source or a particular contaminant.
G16B 30/00 - ICT specially adapted for sequence analysis involving nucleotides or amino acids
C12Q 1/689 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for bacteria
19.
SYSTEMS AND METHODS FOR A PET IMAGE SEARCH BASED ON A PET IMAGE CREATED BY A USER
A computer-implemented method for analyzing a pet sketch to determine one or more matching pet images is disclosed. The method includes receiving the pet sketch from a user device, analyzing the pet sketch to determine one or more characteristics corresponding to the pet sketch, sending an API request to at least one external system, the API request including the one or more characteristics of the pet sketch, in response to sending the API request, receiving the one or more matching pet images from the at least one external system, and displaying, by the one or more processors, the one or more matching pet images on the user device.
G06F 16/532 - Query formulation, e.g. graphical querying
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06V 10/40 - Extraction of image or video features
A computer-implemented method for cytological grading may include receiving first image data representing a biological sample, and parsing the received first image data into a plurality of tiles. Each of the plurality of tiles may represent a respective portion of the received first image data. The method may also include identifying, using a first trained machine learning model, at least one cytological feature for each of the plurality of tiles. The method may include determining, using a second trained machine learning model, at least one statistic based on the identified at least one cytological feature for each of the plurality of tiles, and outputting the determined at least one statistic.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/69 - Microscopic objects, e.g. biological cells or cellular parts
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Methods of producing L-isomers of glucose from cellulose, cellulose-derived L-isomers of glucose, and uses thereof are described. The method may include precipitating cellulose from an alkaline solution of swollen or solubilized cellulose; and hydrolyzing the precipitated cellulose with an acid to produce an L-isomer of glucose.
A method is provided, comprising feeding a cat a foodstuff comprising a protein to fat ratio of 1:0.27 to 1:0.63 on a gram:gram as fed or dry matter basis, and measuring the level of glucose-dependent insulinotropic polypeptide (GIP) in a blood sample from the cat before and after feeding the foodstuff. A reduction in GIP levels and/or maintaining low levels of GIP post-prandially is indicative of a foodstuff useful in preventing accumulation of and/or reducing body fat in a cat and therefore controlling the body weight of a cat.
A61K 9/00 - Medicinal preparations characterised by special physical form
A61K 31/198 - Alpha-amino acids, e.g. alanine or edetic acid [EDTA]
A61K 31/20 - Carboxylic acids, e.g. valproic acid having a carboxyl group bound to an acyclic chain of seven or more carbon atoms, e.g. stearic, palmitic or arachidic acid
A61K 31/201 - Carboxylic acids, e.g. valproic acid having a carboxyl group bound to an acyclic chain of seven or more carbon atoms, e.g. stearic, palmitic or arachidic acid having one or two double bonds, e.g. oleic or linoleic acid
A61K 31/202 - Carboxylic acids, e.g. valproic acid having a carboxyl group bound to an acyclic chain of seven or more carbon atoms, e.g. stearic, palmitic or arachidic acid having three or more double bonds, e.g. linolenic acid
A61K 31/401 - ProlineDerivatives thereof, e.g. captopril
24.
COMPOUNDS THAT MODULATE FATTY ACID RECEPTOR ACTIVITY AND PET FOOD PRODUCTS CONTAINING THE SAME
A flavor composition comprising at least one compound that modulates, increases and/or enhances the activity of a GPR120 fatty acid receptor that can be used to enhance the fatty acid taste and/or palatability of pet food products is described herein. Also disclosed herein are methods for identifying said compounds.
MARS WRIGLEY CONFECTIONERY (CHINA) LIMITED (China)
Inventor
Gu, Wenjie
Abstract
The device described herein relate to a packaging system including: a box having two or more side panels and a base panel, each of the two or more side panels including a respective compartment; a lid including a top panel and two or more side walls, each of the two or more side walls perpendicular to the top panel, wherein: in a closed position, the two or more side panels of the box are substantially vertical and perpendicular to the base of the box, the two or more side walls of the lid engage the two or more side panels of the box, and the compartments face an interior space of the box defined by the two or more side panels, the base panel, and the top panel; and in an open position, the two or more side panels of the box are substantially horizontal and parallel to the base panel of the box, and the compartments face upward from a plane defined by the base panel.
B65D 81/34 - Containers, packaging elements, or packages, for contents presenting particular transport or storage problems, or adapted to be used for non-packaging purposes after removal of contents for packaging foodstuffs intended to be cooked or heated within the package
The present disclosure provides a palatable composition in a solid gel form for a companion animal, said palatable composition comprising at least from about 90wt% to about 99wt% of broth, said broth comprising at least about 90wt% of water compared to the total weight of the broth, from about 0.1 wt% to about 2wt% of at least one texturing agent, and from about 0.1 wt% to about 4wt% of at least one mineral salt. It further provides a package comprising from about 20ml to about 200ml of said palatable composition, a method for manufacturing said palatable composition, as well as its use for improving the hydration of a companion animal, for providing fast rehydration to a companion animal during effort and in preventing and/or treating a kidney dysfunction.
Systems, methods, and devices for confining pet movement without physical restraint are disclosed herein. The systems and devices may include a first stand including an adjustable body support, a first middle portion, and a first base portion, the first middle portion configured to move the adjustable body support vertically based on a height of a pet; a second stand including an adjustable platform, a second middle portion, and a second base portion, the second middle portion configured to move the adjustable platform vertically based on the height of the pet, the adjustable platform configured to retain an item that is placed on a first surface of the adjustable platform; and a base onto which the first stand and the second stand are mounted.
The present disclosure relates to the field of food products and compositions, such as food additives and supplements, and uses thereof. Those food products and compositions are particularly convenient for canine, especially dogs, for use for improving cognition and/or reducing stress.
A method for annotating pet health-related sensor data includes receiving from one or more sensors activity data indicative of one or more movements of a pet, determining a behavior of the pet based on the activity data, receiving contextual data associated with the pet from a user device, determining a temporal relationship between at least one data point of the behavior of the pet and at least one data point of the contextual data, determining a correlation between the behavior of the pet and at least one data point of the contextual data based on the temporal relationship, and providing a user interface for display on the user device. The user interface includes at least one graphic depicting the behavior annotated with the contextual data determined to be correlated with the behavior.
A method for annotating pet health-related sensor data includes receiving from one or more sensors (130-140) activity data indicative of one or more movements of a pet, determining a behavior of the pet based on the activity data, receiving contextual data associated with the pet from a user device (102, 124), determining a temporal relationship between at least one data point of the behavior of the pet and at least one data point of the contextual data, determining a correlation between the behavior of the pet and at least one data point of the contextual data based on the temporal relationship, and providing a user interface (112, 129) for display on the user device (102, 124). The user interface (112, 129) includes at least one graphic depicting the behavior annotated with the contextual data determined to be correlated with the behavior.
30 - Basic staples, tea, coffee, baked goods and confectionery
Goods & Services
Clothing; footwear; headgear. Confectionery; chocolate; candy; sugar confectionery; cocoa; chocolate powder; cacao powder; coffee; tea; chocolate and cocoa-based beverages; chocolate-based food products namely bars, snacks, nutrition bars, nutrition snacks, protein bars, protein snacks, energy bars, and energy snacks; cocoa based food products namely bars, snacks, nutrition bars, nutrition snacks, protein bars, protein snacks, energy bars, and energy snacks; frozen confections; edible ices (natural and artificial); sorbets; ice cream; frozen yogurt; biscuits; cookies; cakes; cupcakes; brownies; tarts; doughnuts; edible wafers; mousses (sweet); chocolate covered fruits, nuts, and seeds; chocolate and cocoa based spreads; chocolate and cocoa syrups; topping syrup; sweet sauces; sweet spreads and dips; powders for ice cream, desserts, and beverages; flavorings for beverages and food other than essential oils; cereal-based food products namely bars, snacks, nutrition bars, nutrition snacks, protein bars, protein snacks, energy bars, and energy snacks; malted powder; cereals; muesli; confectionery and chocolate chips for baking.
37.
DEVICES AND METHODS FOR COUPLING ACCESSORIES TO COLLARS
A base has a body defining a connecting wall having a first end and a second end. The body also defines a first arm extending from the first end of the connecting wall, the first arm including a first surface and a first protrusion extending from the first surface, and a second arm extending from the second end of the connecting wall, the second arm including a second surface and a second protrusion extending from the second surface toward the first arm. The second protrusion overlaps with the first protrusion to retain a collar received in a through-slot defined by the connecting wall, the first and second surfaces, and the first and second protrusions. The body further defines a first interface extending from the first arm opposite a side of the first arm including the first surface, where the first interface is configured to couple a housing to the base.
Various embodiments of this disclosure relate generally to predicting a risk level for the presence of persistent deciduous teeth (PDT) for one or more pets. The method comprises receiving, by one or more processors, pet data corresponding to a pet from a user device, the pet data including one or more pet attributes, based on the one or more pet attributes, determining, by the one or more processors, a result value indicating a PDT attribute weight for each of the one or more pet attributes, analyzing, by the one or more processors, the result value for each of the one or more pet attributes to determine a PDT risk level, the analyzing including utilizing a PDT risk level prediction algorithm, and displaying, by the one or more processors, the PDT risk level on one or more user interfaces of the user device.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
39.
DEVICES AND METHODS FOR COUPLING ACCESSORIES TO COLLARS
A base has a body defining a connecting wall having a first end and a second end. The body also defines a first arm extending from the first end of the connecting wall, the first arm including a first surface and a first protrusion extending from the first surface, and a second arm extending from the second end of the connecting wall, the second arm including a second surface and a second protrusion extending from the second surface toward the first arm. The second protrusion overlaps with the first protrusion to retain a collar received in a through-slot defined by the connecting wall, the first and second surfaces, and the first and second protrusions. The body further defines a first interface extending from the first arm opposite a side of the first arm including the first surface, where the first interface is configured to couple a housing to the base.
Methods for detecting an allergen or toxigen are disclosed herein. The methods comprise obtaining sequence data for a plurality of nucleic acid sequences present in a food product; identifying one or more allergen sequences, or one or more toxigen sequences, in the sequence data, wherein the one or more allergen sequences, or one or more toxigen sequences correspond to an allergen or a toxigen present in the food sample; and detecting the presence of the allergen or the toxigen in the food product if the one or more allergen sequences, or the one or more toxigen sequences, are above a predetermined threshold.
Various embodiments of this disclosure relate generally to predicting a risk level for the presence of persistent deciduous teeth (PDT) for one or more pets. The method comprises receiving, by one or more processors, pet data corresponding to a pet from a user device, the pet data including one or more pet attributes, based on the one or more pet attributes, determining, by the one or more processors, a result value indicating a PDT attribute weight for each of the one or more pet attributes, analyzing, by the one or more processors, the result value for each of the one or more pet attributes to determine a PDT risk level, the analyzing including utilizing a PDT risk level prediction algorithm, and displaying, by the one or more processors, the PDT risk level on one or more user interfaces of the user device.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Disclosed is a mounting base 300 for attaching a portable electronic device 402 to a collar apparatus 400. Mounting base 300 includes a frame 102 and a latch 200. Latch 200 is moveable between a latched position and an unlatched position. Latch 200includes an actuator 206 with a button 208 that may be depressed by a user to manually move latch 200 between the latched and unlatched positions. A portable electronic device 402 includes an insertion portion 410 that is received in a receiving aperture 108 in the frame 102. Once the insertion portion 410 is inserted, the device 402 may be rotated manually to engage latch 200. During rotation, a lock stub 216 on latch 200engages a corresponding feature on insertion portion 410, thereby preventing counter-rotation of device 402. Additionally, one or more tabs 120 on frame 102 interfere with corresponding structure on insertion portion 410 to secure device 402 onto mounting base 300.
The present disclosure relates to a method for detecting or measuring the content of one or more selected biomarkers in a canine skin sample, comprising the steps of: a) applying an adhesive tape to an exposed skin target area of the canine, whereby an epidermal sample adhering to the adhesive tape is collected, and b) detecting the presence of, and/or measuring the content of, the one or more selected biomarkers in the epidermal sample obtained at step a). It further relates to method of determining the presence of a cutaneous disorder state in a canine skin, a method for the diagnosis of an atopic dermatitis state in a canine skin, a method of determining the beneficial effect of a pharmaceutical agent and/or a selected diet regimen in a canine affected with an atopic dermatitis and a kit of parts for detecting and/or measuring canine biomarkers in a canine epidermal sample.
29 - Meat, dairy products, prepared or preserved foods
30 - Basic staples, tea, coffee, baked goods and confectionery
Goods & Services
Frozen, dried and cooked fruits and vegetables; jellies, jams, compotes; eggs; dairy products; milk drinks; products prepared for consumption and consisting primarily of the aforesaid goods; Protein milk; whey; milk powder for nutritional purposes; milk and milk products; yoghurt; fruit and nut based nutrition food bars; nut-based spreads; peanut butter; vitamin, protein and mineral enriched foods and foodstuffs included in this class and not for medical purposes namely, milk and milk products, milk powder, whey, yoghurt, fruit and nut based nutrition food bars, nut-based spreads, peanut butter, chilled dairy desserts, dairy puddings, dairy spreads, desserts made from milk products, dried fruit-based snack bars, dried fruit-based nutrition bars, dried fruit snacks; protein enriched beverages included in this class namely, protein enriched milk based beverages, flavoured milk beverages, dairy based beverages; dried fruit snacks; dried fruit-based nutrition bars; dried fruit-based snack bars. Coffee, tea, cocoa and artificial coffee; rice; tapioca and sago; flour and preparations made from cereals; bread, pastry and confectionery; Chocolate; confectionery; high-protein chocolate bars; chocolate-based protein bars; chocolate-based cereal bars; chocolate-based spreads; chocolate-based beverages; cereals; preparations made from cereals; high-protein cereal bars; cereal-based energy bars; cereal-based nutrition bars, oat-based nutrition bars, cereal based snack bars, oat-based snack bars; cereal-based snacks; oat-based snacks; cocoa-based snacks; pancake mix; vitamin, protein and mineral enriched foods and foodstuffs included in this class not for medical purposes, namely biscuits, brownies, cakes, candy bars, cereal bars, cereals, cereal preparations, cereal based snack bars, oat-based snack bars, cereal-based energy bars, cereal-based nutrition bars, oat-based nutrition bars; vitamin, protein and mineral enriched foods and foodstuffs included in this class not for medical purposes, namely cereal based snacks, oat-based snacks, cocoa-based snacks, pancake mix, chocolate, chocolate bars, chocolate based spreads, chocolate-based cereal bars, chocolate candy with fillings, confectionery, chocolate desserts, mousses (sweet), chocolate spreads, chocolate-based beverages, drinking chocolate; cookies, ice cream, puddings, pancakes, flapjacks; frozen yoghurt, mousses.
A pet food product comprising a fat component in an amount of from 2.0 wt % to 8.0 wt % by total weight of the pet food product, and a proteinaceous component in an amount of from 6.0 wt % to 14.0 wt % by total weight of the pet food product, wherein said proteinaceous component comprises polypeptides and free amino acids, wherein the ratio of the fat component to the proteinaceous component is from about 0.45:1.0 to about 1.0:1.0, and wherein the amount of free amino acids in the pet food product is at least 0.5 wt % by total weight of the pet food product.
Described here are methods for assessing status of microvascular function in a subject by measuring levels of biomarkers in a biological sample obtained from the subject. Also described are methods of improving microvascular function in a subject identified as having an impaired microvascular function by providing a legume-based snack food. Also described are methods of improving microvascular function in a subject by providing a legume-based snack food. Further described are methods of alleviating an inflammatory lung disease in a subject by providing a legume-based snack food.
Pet food products are provided herein that comprise a reconstituted animal material, itself comprising an animal protein and micro-particulate denatured whey protein isolate having a volume distributed mean particle diameter (D[4,3]) between 37.81 μm and no more than 70 μm.
The presently disclosed subject matter relates to methods of screening raw materials and pet food products to manufacture a palatable pet food product. The presently disclosed subject matter also relates to methods for identifying compounds that modulate the activity and/or expression of a taste receptor.
Methods, systems, and non-transitory computer readable mediums are disclosed for generating health reports. Pet data associated with an entity is received from one or more data sources. Genetic test results data is received from a genetic test results database. The pet data received from the one or more data sources is analyzed with the genetic test results data received from the genetic test results database using an interpretation logic data structure. A result value associated with the pet data and the genetic test results data is determined based on the analysis. One or more result statements associated with the result value are determined and one or more health reports based on the one or more result statements are generated.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
56.
A COMPUTER-IMPLEMENTED METHOD OF PREDICTING QUALITY OF A FOOD PRODUCT SAMPLE
A computer-implemented method of predicting quality of a food product sample after a mixing process, based on properties of the food product, comprises: building a hybrid model by: training an autoencoder in an unsupervised learning step using historical process data of food product samples; training a supervised model in a supervised learning step using the output of the autoencoder; and predicting the quality of the food product by inputting process data of current samples into the hybrid model and classifying the samples.
A computer-implemented method for detecting one or more emotions of one or more pets is disclosed. The method receiving, by one or more processors, image data from at least one user device, wherein the image data includes one or more frames, detecting, by the one or more processors, at least one pet outline that includes at least one pet in the one or more frames, detecting, by the one or more processors, one or more emotions of the at least one pet based on the at least one pet outline; and displaying, by the one or more processors, the one or more emotions on at least one user interface of a user device.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
A computer-implemented method for detecting one or more emotions of one or more pets is disclosed. The method receiving, by one or more processors, image data from at least one user device, wherein the image data includes one or more frames, detecting, by the one or more processors, at least one pet outline that includes at least one pet in the one or more frames, detecting, by the one or more processors, one or more emotions of the at least one pet based on the at least one pet outline; and displaying, by the one or more processors, the one or more emotions on at least one user interface of a user device.
The invention relates to a food product comprising a plant-based nougat component, wherein the plant-based nougat component comprises from 0.5-20 wt % plant-based protein and from 1-30 wt % plant-based powder; a plant-based caramel component; and a plant-based chocolate component.
A23G 1/48 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
A23G 1/44 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing peptides or proteins
A23G 1/54 - Composite products, e.g. layered, coated, filled
A23G 3/44 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof characterised by the composition containing peptides or proteins
A23G 3/48 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
A23G 3/54 - Composite products, e.g. layered, coated, filled
61.
SYSTEMS AND METHODS FOR TEMPERATURE CONTROL OF CONSUMER PRODUCTS
A temperature control system may include a thermoelectric device and one or more solar panels operatively connected to the thermoelectric device. The one or more solar panels may provide solar power to the thermoelectric device. A controller may be operatively connected to the thermoelectric device. A first insulating layer may surround a receptacle and a second insulating layer may include a plurality of channels. The controller may switch the thermoelectric device between an ON state and an OFF state based upon a threshold availability of the solar power. The thermoelectric device may receive forced air convection through the plurality of channels in the second insulating layer to maintain a temperature inside the receptacle when the thermoelectric device is in the ON state and may reduce air circulation within the receptacle to substantially maintain the temperature inside the receptacle when the thermoelectric device is in the OFF state.
F25B 27/00 - Machines, plants or systems, using particular sources of energy
F25B 21/02 - Machines, plants or systems, using electric or magnetic effects using Peltier effectMachines, plants or systems, using electric or magnetic effects using Nernst-Ettinghausen effect
F25D 11/00 - Self-contained movable devices associated with refrigerating machinery, e.g. domestic refrigerators
F25D 17/06 - Arrangements for circulating cooling fluidsArrangements for circulating gas, e.g. air, within refrigerated spaces for circulating gas, e.g. by natural convection by forced circulation
F25D 29/00 - Arrangement or mounting of control or safety devices
The invention relates to a chocolate confection having improved flavor attributes. The chocolate confection comprises a white confectionery ingredient, a cocoa extract, and a food acid.
A23G 1/48 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
A23G 1/00 - CocoaCocoa products, e.g. chocolateSubstitutes therefor
A23G 1/54 - Composite products, e.g. layered, coated, filled
The presently disclosed subject matter relates to compounds and/or flavor compositions for enhancing palatability of pet food products. The presently disclosed subject matter also relates to compounds that modulate the activity of a GPRC6A taste receptor.
There is described a method of filling a flat pouch, the method comprising: folding a lower portion of the pouch relative to an upper portion about a fold line; forming a shaped fold by lifting a central region of the folded lower portion such that distal regions of the lower portion on either lateral side of the central region slope downwards away from the central region, wherein the shaped fold is configured to maintain the pouch in an open configuration in which first and second layers of the pouch are separated over a top edge to form an opening into a cavity of the pouch; and filling the cavity of the pouch with product via the opening. An associated apparatus for performing the method is also described.
B65B 3/02 - Machines characterised by the incorporation of means for making the containers or receptacles
B65B 43/30 - Opening or distending bagsOpening, erecting, or setting-up boxes, cartons, or carton blanks by grippers engaging opposed walls, e.g. suction-operated
B65B 43/54 - Means for supporting containers or receptacles during the filling operation
B65B 61/24 - Auxiliary devices, not otherwise provided for, for operating on sheets, blanks, webs, binding material, containers or packages for shaping or reshaping completed packages
B65D 27/00 - Envelopes or like essentially-rectangular flexible containers for postal or other purposes having no structural provision for thickness of contents
Systems and methods are disclosed for implementing advanced statistical models and machine-learning algorithms to generate predictions. The method includes receiving a plurality of data from one or more sources; processing the plurality of data to select one or more relevant variables; training one or more prediction models based on the one or more relevant variables, and a combination of an advanced statistical model and a machine-learning model; evaluating performance of the one or more trained prediction models based on one or more validation techniques; and deploying at least one prediction model based on the performance for generating predictions.
The present disclosure relates to a system, apparatus, or method for testing of pet products and their resulting impact on pets. Certain embodiments include collecting, at a server, data related to one or more teeth of a pet, where the data results from the testing of the pet product. Certain embodiments also include mapping, by the server, the data to a heatmap representation of the one or more teeth of the pet. The heatmap representation illustrates a statistical analysis of the data. In addition, certain embodiments determine based on the statistical analysis of the data illustrated in the heatmap representation an impact of the pet product on the one or more teeth of the pet.
G06T 11/20 - Drawing from basic elements, e.g. lines or circles
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
76.
SYSTEMS AND METHODS FOR ADVANCED PREDICTION USING MACHINE-LEARNING AND STATISTICAL MODELS
Systems and methods are disclosed for implementing advanced statistical models and machine-learning algorithms to generate predictions. The method includes receiving a plurality of data from one or more sources; processing the plurality of data to select one or more relevant variables; training one or more prediction models based on the one or more relevant variables, and a combination of an advanced statistical model and a machine-learning model; evaluating performance of the one or more trained prediction models based on one or more validation techniques; and deploying at least one prediction model based on the performance for generating predictions.
G06F 18/15 - Statistical pre-processing, e.g. techniques for normalisation or restoring missing data
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
G06Q 30/0201 - Market modellingMarket analysisCollecting market data
G06N 3/0442 - Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
77.
BACTERIAL ASSOCIATIONS WITH GINGIVITIS AND PERIODONTITIS IN ANIMAL, FOR EXAMPLE YORKSHIRE TERRIERS
Methods for determining the oral health status of an animal through the compositional analysis of the oral microbiome are disclosed herein. The abundance or relative abundance of one or more microbial taxa is assayed using quantitative PCR and DNA sequencing. Bacterial taxa whose abundance is a marker for periodontitis and/or gingivitis are identified.
C12Q 1/6883 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
C12Q 1/00 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions
C12Q 1/689 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for bacteria
Agricultural, horticultural and forestry products, grains and seeds; live animals, birds and fish; cuttlefish bone; bones for dogs; edible chews for animals; products for animal litter; fresh fruits and vegetables; foodstuffs and beverages for animals, birds and fish.
81.
NUCLEOTIDES AND OLIGOSACCHARIDES FOR USE AS FOOD COMPOSITION
The present invention relates to a food composition comprising, in % by weight of the food composition on dry matter basis, i) nucleotides in an amount of at least about 0.05% and ii) oligosaccharides in an amount of at least about 0.1%, wherein said oligosaccharides are selected from xylo-oligosaccharides (XOS), fructo-oligosaccharides (FOS), galacto-oligosaccharides (GOS), and combinations thereof.
A method for service location optimization may include methods for deriving service location utilization data from video, predicting an operational characteristic of a service location, optimizing an operational characteristic of a service location, and presenting a user interface for user-directed optimization of an operational characteristic of a service location.
Methods and systems for determining a change in a characteristic of a pet are provided. An example method includes: receiving, by one or more processors, sensor data generated by one or more pressure sensors integrated within a mat based on the pet moving over the mat; determining, by the one or more processors, a representation of the characteristic of the pet using an artificial intelligence (AI) model and the sensor data; determining, by the one or more processors, the change in the characteristic of the pet based on the representation of the characteristic of the pet and a baseline representation of the characteristic of the pet; generating, by the one or more processors, a notification including information identifying the change in the characteristic of the pet; and providing, by the one or more processors, the notification to a user device to cause the user device to display the notification.
Methods and systems for determining a change in a characteristic of a pet are provided. An example method includes: receiving, by one or more processors, sensor data generated by one or more pressure sensors integrated within a mat based on the pet moving over the mat; determining, by the one or more processors, a representation of the characteristic of the pet using an artificial intelligence (AI) model and the sensor data; determining, by the one or more processors, the change in the characteristic of the pet based on the representation of the characteristic of the pet and a baseline representation of the characteristic of the pet; generating, by the one or more processors, a notification including information identifying the change in the characteristic of the pet; and providing, by the one or more processors, the notification to a user device to cause the user device to display the notification.
Systems and methods are disclosed for optimizing a solution. The method includes receiving data associated with one or more products and one or more packaging materials from a plurality of data sources. Test data is generated based on the received data. The test data is inputted into a machine-learning model configured to predict packaging requirements and packaging performance. Generating, utilizing the machine-learning model, an optimal packaging configuration based on the prediction. Display the optimal packaging configuration in a user interface of a device.
The present disclosure relates to a method for determining a cutaneous lesion score of a companion animal suspected to have an atopic dermatitis condition, using at least:—an assessment module trained beforehand to learn features indicative of an atopic dermatitis condition in a companion animal, based at least on a plurality of previously acquired images of companion animal body surfaces, some of these images having cutaneous lesion(s),—at least one lesion image of said companion animal body surface with at least one cutaneous lesion, and—optionally at least one metadata relative to said companion animal, the method including at least the steps of: a) operating said trained assessment module on said at least one lesion image and said at least one metadata of said companion animal, and b) based on said assessment module. generating a score indicative of the cutaneous state of said companion animal.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
94.
WET FOOD COMPOSITIONS SUITABLE FOR INTESTINAL DISORDER
The present disclosure relates to a wet food composition for a companion animal having an intestinal disorder including, on a dry matter basis: (a) from about 15% to about 45% by weight of protein; (b) from about 5% to about 25% by weight of fat; (c) from about 6% to about 14% by weight of Total Dietary Fibers (TDF); wherein at least about 50% by weight of the total amount of TDF, on a dry matter basis, originates from psyllium.
A23K 10/20 - Animal feeding-stuffs from material of animal origin
A23K 10/30 - Animal feeding-stuffs from material of plant origin, e.g. roots, seeds or hayAnimal feeding-stuffs from material of fungal origin, e.g. mushrooms
A23K 10/37 - Animal feeding-stuffs from material of plant origin, e.g. roots, seeds or hayAnimal feeding-stuffs from material of fungal origin, e.g. mushrooms from waste material
A23K 20/147 - Polymeric derivatives, e.g. peptides or proteins
A23K 20/158 - Fatty acidsFatsProducts containing oils or fats
Systems and methods are disclosed for generating formulas for product formulation. The method includes receiving a request for a formula to design a product from at least one device associated with a user. Relevant data associated with the product is received from a plurality of data sources. A formula for designing the product is generated by applying one or more features of a trained machine-learning model. The trained machine-learning model has been trained by inputting the relevant data associated with the product into the machine-learning model; employing a supervised learning technique to optimize the machine-learning model through iterative learning algorithms; and evaluating the performance of the machine-learning model using validation techniques. The formula is presented in a user interface of at least one device associated with the user.
Systems and methods for predicting sensory shelf life progression are provided. The method may include receiving data associated with a product. The data may include one or more sensory attributes of the product. The method may further include providing the one or more sensory attributes of the product to a predictive machine-learning model trained to identify associations between the one or more sensory attributes of the product and output a sensory shelf life progression for the product. The method may further include transmitting the sensory shelf life progression to a display of a user device.
A method for predicting a property of a product with substitute ingredients includes receiving data of an ingredient profile of a product, a molecular profile associated with the ingredient profile, and a formula profile for the product based on the ingredient profile; determining a set of molecular descriptors for the product based on the molecular profile; determining a set of material descriptors for the product based on the set of molecular descriptors; determining a set of formula descriptors for the product based on the set of material descriptors and the formula profile; generating a measured set of functional properties for the product using a machine-learning model based on the one or more formula descriptors; receiving one or more substitute ingredients for the product; and generating a predicted set of functional properties for the product through use of the machine-learning model based on the one or more substitute ingredients.
A flavor composition containing at least one, two, three, four, five or more peptide compound(s) that can be used to enhance the taste of edible compositions including sweet goods, such as confectionery goods, and savory goods, such as pet foods.
09 - Scientific and electric apparatus and instruments
41 - Education, entertainment, sporting and cultural services
Goods & Services
Downloadable computer software programs and mobile device applications for identifying, storing, searching and accessing information on pets, personal and medical data, searching for and communicating with pet owners, local businesses and non-profit organizations, hosting marketing events Educational services, namely, providing instruction in the fields of animal welfare, human interaction and safety with dogs, and human and dog health, fitness, and exercise; Providing on-line publications in the nature of applications concerning information on animal welfare, human interaction and safety with dogs, and human and dog health, fitness and exercise.
09 - Scientific and electric apparatus and instruments
41 - Education, entertainment, sporting and cultural services
Goods & Services
Downloadable computer software programs and mobile device applications for identifying, storing, searching and accessing information on pets, personal and medical data, searching for and communicating with pet owners, local businesses and non-profit organizations, hosting marketing events Educational services, namely, providing instruction in the fields of animal welfare, human interaction and safety with dogs, and human and dog health, fitness, and exercise; Providing on-line publications in the nature of applications concerning information on animal welfare, human interaction and safety with dogs, and human and dog health, fitness and exercise.
