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.
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
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.
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
8.
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
10.
METHOD OF GLUCOSE-DEPENDENT INSULINOTROPIC POLYPEPTIDE (GIP) STABILIZATION
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
11.
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.
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.
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 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.
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.
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
22.
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
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
25.
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
28.
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.
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
30.
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.
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
34.
FLAVOR COMPOSITION AND EDIBLE COMPOSITIONS CONTAINING SAME
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.
A method performed by at least one processor of a platform includes receiving from a first system a first data set associated with an interaction between a pet owner and an expert relating to care of a pet hosted via the first system, updating pet profile data associated with the pet based on the first data set, determining a portion of the pet profile data including the first dataset associated with a second system, and transmitting the portion of the pet profile data to the second system. The second system is configured to generate content to provide to the pet owner based on the portion of the pet profile data.
In one embodiment, the disclosure provides a method comprising: receiving an image of a biopsy slide; executing first programmed instructions to input the image to a first trained machine learning model programmed as a cancer classifier, thereby outputting a classification; determining, based on the classification, that the image should be further processed; executing a tissue detect ion algorithm on the image of the biopsy slide, thereby outputting a first set of coordinates; executing second programmed instructions to input the image of the biopsy slide and the first set of coordinates to a second trained machine learning model programmed for image segmentation, thereby outputting a binary pixel mask; executing third programmed instructions to generate an enhanced pixel mask using the binary pixel mask; and digitally storing, in computer memory, a second set of coordinates indicated by the enhanced pixel mask, in one embodiment, a 10-high-power field can be generated and digitally stored.
A computer-implemented method for dynamically managing electronic transactions of pet homing data is disclosed. The method includes receiving a pet selection, sending a confirmation indicating that the pet has been homed, determining whether at least one pet owner profile corresponding to at least one user record exists in a data store, in response to the determining that the at least one pet owner profile does not exist in the data store, creating a new pet owner profile based on the at least one user record, determining whether the at least one pet profile corresponding to at least one pet record exists in the data store, in response to determining that the at least one pet profile does not exist in the data store, creating a new pet profile based on the at least one pet record, and associating the new pet profile with the new pet owner profile.
A dry pet food comprises a core and an external coating that covers at least a part of the core and is composed of one or more layers, including a covering layer on the outside. The core contains: carbohydrates in a concentration of 20-90% by weight of the core, including starch in a concentration of 5-50% by weight of the core; protein in a concentration of 10-50% by weight of the core; fat in a concentration of 0-40% by weight of the core. The covering layer is composed of: 1-80 wt. % dry yeast extract; 0.5-60 wt. % of an edible phosphate salt selected from pyrophosphate, triphosphate and combinations thereof; 0-95 wt. % of other edible components. The dry yeast extract is contained in the covering layer in a concentration of 0.1-10% by weight of the dry pet food in a concentration of 0.1-5% by weight of the dry pet food.
The present disclosure is generally directed to reconstituted kernel compositions, especially to shelf-stable and precooked reconstituted kernel compositions having a cereal component and a legume component, and to methods of making the same.
A computer-implemented method for classifying electrocardiogram signals of a canine is disclosed. The method comprises receiving electrocardiogram data of a canine, the electrocardiogram data including at least one electrocardiogram signal, segmenting the electrocardiogram data into one or more data subsets, pre-processing the one or more data subsets, the pre-processing including excluding the one or more data subsets that include a poor electrocardiogram signal, augmenting the one or more data subsets, determining, using a trained machine-learning model, one or more signal classifications for the one or more data subsets, aggregating the one or more signal classifications to determine a result classification, and outputting the result classification to an electronic storage device and/or a display.
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 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
An edible pet food, wherein the pet food has a moisture content of 15 to 50 wt % and the pet food comprises a core and a coating disposed on the core, wherein the core comprises animal protein and the pet food has an animal protein content of at least 30 wt %, and at least one of the core and the coating comprises a glucose-containing carbohydrate selected from a dextrin and an esterified starch.
The presently disclosed subject matter provides a hypoallergenic palatable composition. The composition includes at least about 25% of at least partially hydrolysed proteins and at least about 10% of crude fibers by weight, based on the total weight of dry matter of the composition. The composition can be used to achieve weight loss and/or weight management of pet animals affected with adverse food reactions (AFR), particularly cutaneous adverse food reactions (CAFR).
The present disclosure relates to a kit comprising: (i) a first part comprising a food bowl assembly including a first bowl having side walls and a base; a second feeding bowl disposed within the first bowl, the second feeding bowl having side walls and a solid base, the inner surface of said side walls and solid base being a closed surface; a separating module adapted to hold an olfactive product, the separating module being arranged to fit between the solid base of the second feeding bowl and the first bowl, and a vent arranged to allow odours from the separating module to exit the food bowl assembly between the first bowl and the side walls of the second feeding bowl so that odours do not pass through the second feeding bowl; and (ii) a second part comprising of a container comprising at least one olfactive product. A second aspect of the present disclosure relates to a kit as defined above for use in a method for to treat olfaction dysfunction, appetite loss or food aversion due to a disease or for treating and/or preventing a disease or disorder in an animal.
A food product is described. The food product comprises: a nut butter component comprising from 1-30 wt % soluble fiber; a caramel component comprising from 1 to 70 wt % soluble fiber and one or more inclusions selected from a grain inclusion and a nut inclusion; and a chocolate component comprising from 1-30 wt % soluble fiber. There is also described a method of making the food product.
A food product is described. The food product comprises a biscuit component, wherein the biscuit component comprises a grain inclusion; a honey caramel component, wherein the caramel component comprises from 1 to 60 wt % soluble fiber; and a chocolate component comprising from 1-30 wt % soluble fiber. Also described is a method of making the food product.
A21D 13/02 - Products made from whole mealProducts containing bran or rough-ground grain
A21D 13/17 - Multi-layered pastry, e.g. puff pastryDanish pastry or laminated dough with coatings
A23G 1/54 - Composite products, e.g. layered, coated, filled
A23G 3/42 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof characterised by the composition characterised by the carbohydrates used, e.g. polysaccharides
A23L 33/21 - Addition of substantially indigestible substances, e.g. dietary fibres
The invention relates to a plant-based nougat comprising potato protein isolate, a sugar syrup and a flavouring component, and a method of making the nougat. A confectionery product comprising the nougat and a component selected from plant-based caramel and plant-based chocolate is also disclosed, together with a method for making the nougat.
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 1/48 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
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 3/54 - Composite products, e.g. layered, coated, filled
53.
SYSTEM, METHOD, AND APPARATUS FOR PET CONDITION DETECTION
In one embodiment, a method includes accessing sensor data captured by sensors, wherein the sensor data is associated with a first pet, detecting activities of the first pet within a specified time period based on the sensor data, determining health indicators of the first pet based on one or more of the activities, wherein the health indicators are based on metrics associated with the one or more activities, generating a wellness assessment of the first pet based on the health indicators, wherein the wellness assessment comprises one or more of a wellness score or an alert of a possible medical condition, and sending instructions to a user device for presenting the wellness assessment of the first pet to a user.
G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
A61D 99/00 - Subject matter not provided for in other groups of this subclass
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 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
A computer-implemented method for canine mobility detection is disclosed. The method includes processing mobility data captured by a device attached to a canine, analyzing canine data corresponding to the canine to determine at least one baseline canine, wherein the at least one baseline canine is similar to the canine, for each of the one or more metrics, comparing the one or more metrics of the canine to one or more baseline metrics of the at least one baseline canine, determining one or more scores for each of the one or more metrics, the one or more scores based on a normal range of the one or more metrics from the one or more baseline metrics of the at least one baseline canine, and displaying at least one alert on one or more user interfaces of a user device.
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
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
The invention relates to a plant based food product, more particularly a plant based composite confectionery product comprising 1-65 wt %, or 1-40 wt %, or 10-30 wt %, or 15-25 wt % plant-based nougat, wherein the plant-based nougat comprises plant-based protein, sugar syrup, and a flavouring component; and a component selected from 25-65 wt %, or 35-55 wt %, or 40-50 wt % plant-based caramel, wherein the plant-based caramel comprises a plant-based milk, plant-based fat, and sugar syrup; and 15-55 wt %, or 25-45 wt %, or 30-40 wt % plant-based chocolate.
A23G 1/54 - Composite products, e.g. layered, coated, filled
A23G 3/42 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof characterised by the composition characterised by the carbohydrates used, e.g. polysaccharides
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
The present disclosure relates to methods for treating at least one source of proteins, treated protein material obtainable by said method of treatment, and food compositions for animals, preferably for pets, including said treated protein material.
The present invention relates to a solid pet food component which comprises a mixture of curdlan and a protein and which has a moisture content of at least 40%. The present invention also relates to a wet pet food which contains a solid, pet food components, as described above. The present invention also related to a method of making the solid pet food component and a method of making the wet pet food, as described above.
A method for identifying a pet via an image of a nose of the pet includes receiving at least one image comprising the nose of the pet, identifying the nose of the pet and nostrils of the nose in the at least one image, comparing a degree of alignment of the nostrils of the nose with a first threshold value, in accordance with the degree of alignment of the nostrils meeting the threshold value, determining a quality metric for at least a nose portion of the image, and in accordance with the quality meeting a second threshold value, determining a representation of features of the nose of the pet in the at least one image.
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
G06V 10/24 - Aligning, centring, orientation detection or correction of the image
G06V 10/28 - Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
G06V 10/98 - Detection or correction of errors, e.g. by rescanning the pattern or by human interventionEvaluation of the quality of the acquired patterns
One example method provided herein comprises: receiving an input image from a client device, the input image comprising a view of one or move products, wherein the input image comprises a plurality of pixels; generating, using a trained machine learning model, a bounding box for each of the one or more products, respectively, each bounding box comprising a subset of the plurality of pixels, wherein each bounding box indicates a particular product of the one or more products; generating a segmentation M mask for the pixels within each of the bounding boxes; generating, using each segmentation mask, an isolated image of each product indicated by one of the bounding boxes, wherein each isolated image comprises substantially only a set of pixels representing the indicated product; generating, using each isolated image of each product, a classification of each of the one or more products; and displaying information related to the generated classifications.
G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
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 10/94 - Hardware or software architectures specially adapted for image or video understanding
Methods for converting mixtures of anthocyanins occurring in fruit or vegetable juice or extract into particular anthocyanin molecules having desirable colorant properties are provided herein. The method of the present disclosure can be employed to increase the amount of particular anthocyanin molecules, while lowering the total number of anthocyanin molecules present in the natural juice and/or extract. The disclosure is also directed to anthocyanin molecules prepared by the methods of present disclosure and to enzymes capable of catalyzing reactions that provide such effects.
C12P 17/16 - Preparation of heterocyclic carbon compounds with only O, N, S, Se, or Te as ring hetero atoms containing two or more hetero rings
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
C12P 19/60 - Preparation of O-glycosides, e.g. glucosides having an oxygen of the saccharide radical directly bound to a non-saccharide heterocyclic ring or a condensed ring system containing a non-saccharide heterocyclic ring, e.g. coumermycin, novobiocin
61.
SYSTEMS AND METHODS FOR A THREE-DIMENSIONAL DIGITAL PET REPRESENTATION PLATFORM
A computer-implemented method for creating a three-dimensional pet avatar. The method comprises receiving, by one or more processors, pet image data and at least one physical characteristic corresponding to at least one pet from a user device, the at least one physical characteristic including at least one pet breed, in response to sending an additional characteristic request to at least one service, receiving, by the one or more processors, at least one additional pet characteristic corresponding to the at least one pet breed from the at least one service, generating, by the one or more processors, at least one pet avatar based on the pet image data, the at least one physical characteristic, and the at least one additional pet characteristic, and displaying, by the one or more processors, the at least one pet avatar on one or more user interfaces of the user device.
In one embodiment, the disclosure provides a computer-implemented method comprising: receiving a first labeled training data set comprising a first plurality of images each associated with a set of labels; programmatically training a machine learning neural Teacher model on the first labeled training data set; programmatically applying a machine learning model trained for NLP to an unlabeled data set comprising digital electronic representations of natural language text summaries of a second plurality of images, thereby generating a second labeled training data set comprising the second plurality of images; using the machine learning neural Teacher model, programmatically generating soft pseudo labels; programmatically generating derived labels using the soft pseudo labels; training one or more programmed machine learning neural Student models using the derived labels; receiving a target image; and applying an ensemble of one or more of the Student models to output one or more classifications of the target image.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06T 7/70 - Determining position or orientation of objects or cameras
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G06F 40/40 - Processing or translation of natural language
Systems, methods, and apparatus are disclosed for analyzing an input image that includes a view of fecal matter. One example method includes: receiving an input image from a client device; determining that the input image comprises a view of fecal matter excreted by an animal; processing at least a portion of the input image comprising the view of the fecal matter using one or more machine learning models to generate a classification of the fecal matter or a health assessment of the animal; generating a recommendation for the animal based on the classification of the fecal matter or the health assessment of the animal; and displaying information related to the recommendation for the animal to a user. Some embodiments involve outputting confidence scores associated with one or more of the other outputs. Some embodiments implement Client-Server architecture and follow a Software as a Service (SaaS) model.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
The present disclosure provides a method for providing an individualized nutritionally complete mixed diet for an animal In certain embodiments, the animal has one or more pathological condition(s). The present disclosure also provides a device for providing an individualized nutritionally complete mixed diet for an animal. A computer program capable of controlling the device to execute the steps of the method, and a computer-readable medium having stored thereon is further provided herein. The present disclosure additionally provides kits for providing individualized nutritionally complete mixed diet for the animal
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
A23K 20/147 - Polymeric derivatives, e.g. peptides or proteins
A23K 20/158 - Fatty acidsFatsProducts containing oils or fats
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 20/24 - Compounds of alkaline earth metals, e.g. magnesium
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.
A computer-implemented method for dynamically managing electronic transactions of pet homing data is disclosed. The method includes receiving a pet selection, sending a confirmation indicating that the pet has been homed, determining whether at least one pet owner profile corresponding to at least one user record exists in a data store, in response to the determining that the at least one pet owner profile does not exist in the data store, creating a new pet owner profile based on the at least one user record, determining whether the at least one pet profile corresponding to at least one pet record exists in the data store, in response to determining that the at least one pet profile does not exist in the data store, creating a new pet profile based on the at least one pet record, and associating the new pet profile with the new pet owner profile.
Methods of characterizing health states and overall Quality of life (QoL) for animals are provided. Predictive modeling and computer systems related to health assessments are also provided.
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
72.
Systems and methods of integrated platforms for dynamic electronic transactions of petcare data
A computer-implemented method for dynamically managing electronic transactions of petcare data is disclosed. The method includes hosting a user portal corresponding to at least one user and at least one pet, the user portal including at least one user profile and at least one pet profile, receiving a first data set from a first external system, in response to the receiving, calling a content management component using an API based on the first data set, in response to the calling, receiving a recommendation from the content management component, the recommendation based on the first data set, based on the receiving, updating one or more database records corresponding to the at least one user identifier and the at least one pet identifier, the updating based on the first data set and the recommendation, and displaying, by the one or more processors, the recommendation on a user interface of the user portal.
G16H 40/20 - 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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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
73.
METHODS OF DIAGNOSING AND TREATING CHRONIC KIDNEY DISEASE
The presently disclosed subject matter relates to methods of diagnosing and treating chronic kidney disease (CKD) in an animal, comprising determining the amount of magnesium in a sample of the animal and providing the animal with a treatment regimen. In certain embodiments, the treatment regimen comprises administering an effective amount of magnesium.
A system, method, and media permit a computing system to access information associated with one or more distribution points comprising a distribution network. The computing system can receive a request from a first user to access a first distribution point of the one or more distribution points and determine that the first user has permission to access the first distribution point. The computing system can determine an account of a second user associated with the first distribution point and transmit, from the account of the second user to an account associated with the first user, one or more credits. The computing system can update one or more properties of the distribution network based on the transmittal.
The present disclosure relates to a food composition, product thereof and kits; including a combination of: (i) a camosic acid source, (ii) a hydroxytyrosol source, and (iii) a tannin source. The disclosure also relates to such food compositions, products and kits for use as a preservative and/or for use as a medicament, in particular in a method for eliciting or increasing an immune response of an animal.
A device that is configured to obtain input data for an animal that is a member of the canid family is provided herein. The input data includes a first array having a first plurality of entries, where each entry within the first plurality of entries contains a numerical value that indicates an amount of a type of bacteria that is present within a sample from the animal. The device is further configured to input the input data for the animal into a machine learning model that is configured to receive the input data for the animal and to output an animal age value based at least in part on the input data for the animal. The animal age value identifies a predicted age for the animal. The device is further configured to obtain the animal age value from the machine learning model and to output the animal age value.
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
77.
SYSTEMS AND METHODS OF INTEGRATED PLATFORMS FOR GENERATING A UNIQUE IDENTIFIER FOR A USER-TO-PET RELATIONSHIP
A computer-implemented method for dynamically managing electronic pet care data including hosting a user portal corresponding to at least one user and at least one pet, the user portal including at least one user profile and at least one pet profile, receiving a first data set from a first external system, wherein the first data set includes at least one user identifier and at least one pet identifier, retrieving the at least one user profile and the at least one pet profile based on the at least one user identifier and the at least one pet identifier respectively, updating the at least one pet profile based on the first data set, generating an electronic key based on the at least one user profile and the at least one pet profile, and displaying the electronic key on a user interface of the user portal.
Provided herein is a non-baked food product comprising a nougat composition, wherein the nougat composition comprises: chocolate liquor; cocoa powder; chocolate; and invert sugar. Further provided herein is a process for making said non-baked food product.
A23G 1/54 - Composite products, e.g. layered, coated, filled
A23G 1/48 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing plants or parts thereof, e.g. fruits, seeds, extracts
A23G 1/40 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition characterised by the carbohydrates used, e.g. polysaccharides
A23G 1/36 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition characterised by the fats used
A23G 1/44 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition containing peptides or proteins
A23G 1/52 - Aerated, foamed, cellular or porous products
The present invention relates to the use of one or more nucleotides selected from the group consisting of GMP (guanosine monophosphate) and IMP (inosine monophosphate), a first amino acid selected from the group consisting of alanine, histidine and glycine or a mixture thereof; a second amino acid selected from the group consisting of proline and threonine or a mixture thereof; and furaneol for increasing the palatability of a foodstuff to a companion animal. The invention also relates to a pet food-stuff or supplement comprising one or more nucleotides selected from the group consisting of GMP and IMP, a first amino acid selected from the group consisting of alanine, histidine and glycine or a mixture thereof; a second amino acid selected from the group consisting of proline and threonine or a mixture thereof; and furaneol, and also to a method of increasing the palatability of a food-stuff to a companion animal.
A23K 20/153 - Nucleic acidsHydrolysis products or derivatives thereof
A23K 50/40 - Feeding-stuffs specially adapted for particular animals for carnivorous animals, e.g. cats or dogs
A23K 50/50 - Feeding-stuffs specially adapted for particular animals for rodents
A23K 50/70 - Feeding-stuffs specially adapted for particular animals for birds
A23K 50/20 - Feeding-stuffs specially adapted for particular animals for horses
A23B 7/152 - Preserving or ripening with chemicals not covered by group or in the form of gases, e.g. fumigationCompositions or apparatus therefor in a controlled atmosphere comprising other gases in addition to CO2, N2, O2 or H2O
The present invention relates to the use of a first amino acid selected from the group consisting of glycine, alanine, cysteine, histidine, leucine, methionine, phenylalanine, serine, tryptophan and tyrosine or a mixture of two or more thereof; a second amino acid selected from the group consisting of aspartic acid, cystine, glutamic acid, glutamine, isoleucine, lysine, aspartic acid, ornithine, threonine, valine, proline and hydroxyproline or a mixture of two or more thereof and one or more furanones for increasing the palatability of a foodstuff to a companion animal. The invention also relates to a pet foodstuff or supplement comprising a first amino acid selected from the group consisting of glycine, alanine, cysteine, histidine, leucine, methionine, phenylalanine, serine, tryptophan and tyrosine or a mixture of two or more thereof; a second amino acid selected from the group consisting of aspartic acid, cystine, glutamic acid, glutamine, isoleucine, lysine, aspartic acid, ornithine, threonine, valine, proline and hydroxyproline or a mixture of two or more furanones, and also a method of increasing the palatability of a foodstuff to a companion animal.
A method for determining the biological age or pace of aging of an adult dog, said method comprising determining the levels of one or more biomarkers selected from the group consisting of (1) blood globulin levels, (2) blood total protein, (3) blood alkaline phosphatase, (4) blood platelet count, (5) blood mean corpuscular volume or (6) urine specific gravity, comparing the results with values obtained from healthy dogs of a known age and of a similar category (toy, small, medium, large or giant). Kits, systems and/or computer media for carrying out the method form further aspects of the invention.
The present disclosure relates to a system, apparatus, or method for meeting a healthcare need of a pet. Certain non-limiting embodiments include collecting data from one or more disparate data sources, and aggregating the collected data from the one or more disparate sources in a data lake. Certain non-limiting embodiments also include clearing personal identification information from the aggregated data in the data lake, and sorting the cleared data into one or more datasets based on one or more attributes of the pet or an owner of the pet. In addition, the certain non-limiting embodiments can include creating a profile of a pet based on the data included in the one or more datasets, and determining a pet product to help fulfill the healthcare need of the pet. Further, certain non-limiting embodiments can include targeting the owner of the pet with an advertisement of the pet product.
Alcohol-based, edible ink formulations comprising scalenohedral calcium carbonate particles are provided. The calcium carbonate particles can act as a white pigment to impart white color properties to the edible ink formulations. The edible ink formulations can be printed onto a variety of surfaces, including the surfaces of food products such as confectionery products and snack food products.
A23L 29/00 - Foods or foodstuffs containing additivesPreparation or treatment thereof
A23G 3/54 - Composite products, e.g. layered, coated, filled
A23G 3/36 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof characterised by the composition
A23P 20/20 - Making of laminated, multi-layered, stuffed or hollow foodstuffs, e.g. by wrapping in preformed edible dough sheets or in edible food containers
The presently disclosed subject matter relates to methods or systems for identifying susceptibility of a dog to develop chronic kidney disease (CKD). The method, for example, can include receiving at least one of one or more biomarkers or demographic information of a dog. The method can also include processing at least one of the one or more biomarkers or demographic information of the dog using a prediction model. The prediction model can include a recurrent neural network. In addition, the method can determine a probability risk score of the dog for developing CKD based on the processed one or more biomarkers or demographic information.
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 50/20 - 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 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
The present invention provides a heat resistant fat based confection. The heat resistance of the confection may be conferred either via inclusion of a polyol and at least one other thermal structuring component in the fat based confection, or via preparation of a premix comprising the polyol and at least one other component of the confection, or a combination of these. Methods of making the fat based confection, and packaged fat based confections, are also provided.
A23G 1/36 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition characterised by the fats used
A23G 1/40 - Cocoa products, e.g. chocolateSubstitutes therefor characterised by the composition characterised by the carbohydrates used, e.g. polysaccharides
A23G 1/54 - Composite products, e.g. layered, coated, filled
A method for screening substances for their ability to reduce malodours from emanations from an animal, said method comprising determining the effect of said substances on the C-S lyase activity of bacteria that emit volatile sulphuric compounds (VSCs), by contacting a test substance with a sample comprising said bacteria or a supernatant obtainable from a culture of said bacteria in the presence of a substrate for a C-S lyase, detecting the levels of thiol production from said bacteria, and comparing the results with those obtained from similar bacteria in the absence of said substance.
C12Q 1/527 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving lyase
C12Q 1/02 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving viable microorganisms
C12Q 1/18 - Testing for antimicrobial activity of a material
The presently disclosed subject matter relates to palatable support compositions for administering one or more medicinal products to an animal, for example, a feline. The palatable support compositions include (i) from about 20% to about 40% by weight of a humectant plasticizer; (ii) from about 0.5% to about 8% by weight of one or more gelling agents; and (iii) from about 20% to about 50% by weight of protein, on a dry matter basis. The present disclosure further provides methods for preparing and use of such palatable support compositions.
The presently disclosed subject matter provides methods of preparing wet food products, such as jellified wet food products. Methods include preparing a pre-gel mixture comprising a combination of food ingredients, one or more alginate, and an aqueous liquid; adding one or more organic acids to the pre-gel mixture to generate a jellified composition; and expulsing aqueous liquid within the jellified composition. The present disclosure further provides microbially stable wet food products prepared using such methods.
A23L 29/256 - Foods or foodstuffs containing additivesPreparation or treatment thereof containing gelling or thickening agents of vegetable origin from seaweeds, e.g. alginates, agar or carrageenan
A23L 33/115 - Fatty acids or derivatives thereofFats or oils
A23L 33/125 - Modifying nutritive qualities of foodsDietetic productsPreparation or treatment thereof using additives containing carbohydrate syrupsModifying nutritive qualities of foodsDietetic productsPreparation or treatment thereof using additives containing sugarsModifying nutritive qualities of foodsDietetic productsPreparation or treatment thereof using additives containing sugar alcoholsModifying nutritive qualities of foodsDietetic productsPreparation or treatment thereof using additives containing starch hydrolysates
A23L 21/10 - MarmaladesJamsJelliesOther similar fruit or vegetable compositionsSimulated fruit products
93.
SYSTEMS AND METHODS FOR DETECTING EATING PATTERNS OF A PET
A computer-implemented method for using historical pet eating data to determine changes in pet eating behavior is disclosed. The method includes receiving a plurality of historical pet eating data records from a database, determining a subset of the plurality of historical pet eating data records, determining an expected distribution based on the subset of the plurality of historical pet eating data records wherein the expected distribution includes a baseline, an upper threshold, and a lower threshold, receiving current pet data from a pet sensor wherein the current pet data includes a total meal event value, analyzing whether the total meal event value exceeds the upper threshold or the lower threshold, and outputting a notification indicating a result that is responsive to the analyzing.
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
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
94.
PROCESS FOR PRODUCING A MEAT ANALOGUE AND APPARATUS THEREFOR
The present invention relates to a process for the production of a meat analogue, comprising the steps of: a) introducing a meat batter comprising protein into a heating unit and heating the meat batter to a temperature above the melting point of the protein to produce a heat-treated product, wherein the heating unit optionally heats the meat batter by Ohmic heating, b) cooling the heat-treated product by moving through a cooling unit, so that the heat-treated product has a temperature below water boiling temperature at ambient pressure when exiting the cooling unit, and c) dividing the cooled heat-treated product into pieces and optionally d) tearing the pieces by passing the pieces through a roll nip (14) between a pair of counter-rotating cylindrical rolls (2, 4) having parallel axes of rotation (10, 12), a plurality of projections (16) being arranged on an outer surface of at least one of the rolls (2, 4).
Systems, methods, and apparatus for characterizing the nutritional needs of an animal. The method can include providing an animal profile comprising one or more animal criteria. The method can also include extracting, from a first database, one or more lists of ingredients associated with the one or more animal criteria. In addition, the method can include determining a rating associated with the extracted lists of ingredients, and comparing the rating with at least one ingredient from the one or more lists of ingredients. A nutritional profile of the animal can then be determined based on at least one of the animal profile, the extracted lists of ingredients, and the rating of the extracted lists of ingredients.
Edible colorant compositions containing a monoacylated anthocyanin of Compound I and methods of use are provided. The colorant compositions include at least the monoacylated anthocyanin colorant of Compound I extracted from red cabbage and a metal ion, and have a pH from about 6.0 to about 8.0. The colorant compositions can be derived from a non-artificial product and provide a stable, blue colorant that can be used in food products. Specifically, the monoacylated anthocyanin colorant provides color characteristics similar to those provided by the artificial blue colorant, FD&C Blue No. 1.
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
A23G 3/34 - Sweetmeats, confectionery or marzipanProcesses for the preparation thereof
A23G 3/54 - Composite products, e.g. layered, coated, filled
A23G 9/32 - Frozen sweets, e.g. ice confectionery, ice-creamMixtures therefor characterised by the composition
C09B 61/00 - Dyes of natural origin prepared from natural sources
C09B 67/22 - Mixtures of different pigments or dyes or solid solutions of pigments or dyes
97.
EXPANDED DRY PRODUCT FOR CALORIC RESTRICTION AND SATIETOGENIC EFFECT, USES AND PROCESS FOR MANUFACTURE THEREOF
The present disclosure relates to a dry food composition having a caloric density ranging from about 500 kcal/L to about 900 kcal/L and including, at least, by weight relative to the total weight of said composition: a. protein in an amount ranging from about 20% to about 36%, b. total dietary fibers in an amount ranging from about 15% to about 30%, and c. starch in an amount ranging from about 15% to about 32%. The disclosure also relates to methods of use for managing weight and food intake using the disclosed compositions, and methods for manufacturing said composition.
A computer-implemented method for using companion pet DNA information to train a machine-learning model to predict a familial relationship of a companion pet, the method comprising receiving companion pet DNA information, the companion pet DNA information including at least one DNA sequence, at least one matching companion pet, and at least one familial label corresponding to the familial relationship between the companion pet and the at least one matching companion pet, and upon the receiving, training the machine-learning model to predict at least one familial relationship from the at least one DNA sequence.
G16B 40/00 - ICT specially adapted for biostatisticsICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
G16B 30/00 - ICT specially adapted for sequence analysis involving nucleotides or amino acids
99.
THE PROCESS FOR PRODUCTION OF A MEAT ANALOGUE, AND MEAT ANALOGUE PREPARED THEREBY
The present invention provides a process for the production of a meat analogue, comprising the steps of: a) introducing a meat batter comprising i) animal protein other than egg powder, ii) plant fiber and/or starch, and iii) egg powder, into a heating unit and heating the meat batter to a temperature above the melting point of the protein to produce a heat-treated product, b) cooling the heat-treated product by moving through a cooling unit, so that the heat-treated product has a temperature below water boiling temperature at ambient pressure when exiting the cooling unit, and c) dividing the cooled heat-treated product into pieces.
A flavor composition containing at least one HMG glucoside compound 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.
patents
