Abstract: Systems, devices, and methods for providing health and/or environmental exposure tracking and/or notifications. At least a first sensor may be configured to detect at least one of: a health parameter, or an environmental exposure parameter, corresponding to at least a first user. An electronic device may comprise a transceiver configured to communicate with at least one of: the first sensor, or a second processor. A first processor, the first processor may configure at least one social media application on the electronic device. Processed data corresponding to the health parameter and/or the environmental exposure parameter, may be received from the second processor for presentation via the at least one social media application. The processed data corresponding to the at least one of: the health parameter, or the environmental exposure parameter, may be presented via one or more user-initiated sessions of the at least one social media application.

Abstract: A method of determining a color value of a target object is provided. The method includes capturing an image having a color calibration object and a color reference object. Computed calibration color values for the color calibration object and a first computed reference color value for the color reference object may be determined based on the single first image. A color calibration coefficient may be determined. A corrected reference color value may be determined based on the color calibration coefficient and the first computed reference color value. A second image may be captured. A second computed reference color value of the color reference object and a computed object color value of the target object may be determined based on the second image. A corrected object color value may be determined based on the corrected reference color value, the second computed reference color value, and the computed object color value.

Abstract: A method and an apparatus for image processing adapted for converting an image captured by a vehicle-mounted camera into a target image. The image processing method includes: determining a grid division pattern and a corresponding weight assignment manner according to an installation posture and an acquisition perspective of the vehicle-mounted camera; dividing the image into an above-ground grid and a preset number of ground grids by using the grid division pattern, the preset number being related to the grid division pattern; and assigning a corresponding weight to each grid by using the weight assignment manner and determining a target feature parameter of the target image based on a feature parameter corresponding to each pixel in the grid.

Abstract: An oral care implement, oral care system, and/or method for detecting the presence or absence of hemoglobin/blood in a user's oral cavity. The oral care implement may include a cavity for receiving a saliva sample from a user and a closure member that can close the cavity for purposes discussed herein. The oral care system may include a handle, a refill head, and a collection cup, with the refill head and collection cup being detachably coupled to the handle. A sample of the user's saliva may be introduced into the collection cup. The handle may include a sensor that can obtain information related to the presence or absence of hemoglobin/blood in the oral cavity or in a sample of the user's saliva. The sensor may be operably coupled to a processor that can determine whether hemoglobin is present in the sample based on the information obtained by the sensor.

Abstract: It is provided a sensor for measuring a biomarker or metabolite level such as glucose level in a fluid sample such as saliva comprising a sensing element comprising a redox reporter attached to at least one aptamer that binds to the biomarker or metabolite, and a solid surface where the sensing element is attached thereto, wherein upon binding of the biomarker or metabolite onto to the aptamer, the redox reporter undergoes a binding-induced change in electron transfer. Measuring the biomarker or metabolite level in the saliva of a patient will allow health monitoring in the patient such as increased risk of gum disease or diabetes in the patient.

Abstract: In one aspect, a device for imaging an oral cavity is disclosed. The device incorporates a head and an elongate body, the head having a base portion, first and second wing structures, and first and second image sensors. The first and second image sensors are mounted to the first and second wing structures and enable imaging of the user's oral cavity. The wing structures enable simultaneous imaging of multiple tooth surfaces simultaneously and may aid in positioning of the head of the device.

Abstract: The disclosure provides a system and method for calibrating extrinsic parameters of a camera mounted on a vehicle. While the vehicle is parked, the camera captures an image of a plurality of feature points with known world coordinates on a ground plane. The system determines pixel coordinates of the plurality of feature points in an image plane and estimates a homography matrix between the ground plane and the image plane based on a subset of the plurality of feature points. The system generates an initial estimate of the extrinsic parameters based on the estimated homography matrix and applies an optimization technique to obtain calibrated extrinsic parameters based on the initial estimate, the world coordinates, and the pixel coordinates of the plurality of feature points. Applying the optimization technique can include minimizing inverse-projection errors of the plurality of feature points from the image plane to the ground plane.

Abstract: The disclosure provides a system and method for calibrating extrinsic parameters of a camera mounted on a vehicle. While the vehicle is parked, the camera captures an image of a plurality of feature points with known world coordinates on a ground plane. The system determines pixel coordinates of the plurality of feature points in an image plane and estimates a homography matrix between the ground plane and the image plane based on a subset of the plurality of feature points. The system generates an initial estimate of the extrinsic parameters based on the estimated homography matrix and applies an optimization technique to obtain calibrated extrinsic parameters based on the initial estimate, the world coordinates, and the pixel coordinates of the plurality of feature points. Applying the optimization technique can include minimizing inverse-projection errors of the plurality of feature points from the image plane to the ground plane.

Abstract: A computer-implemented technique may comprise receiving, for each of a dental user subject of a plurality of dental user subjects, survey result information respectively relating to an executed survey by each dental user subject. At least one machine-learning model may be selected based at least on the survey result information. Techniques may comprise inputting, into the at least one machine-learning model, the received survey result information. The at least one machine-learning model may determine at least one dental condition score for each dental user subject based, at least in part, on the survey result information. Techniques may comprise producing the at least one dental condition score for each dental user patient in a visually interpretable form, and/or an electronic form. The at least one machine-learning model may be calibrated, at least in part, with one or more dental treatment codes from dental study subjects.

Abstract: The present application provides a system and a method for acquiring an image, an electronic device, and a computer-readable storage medium. The system for acquiring an image provided in the present application provides a correction reference with uniform illumination by adjusting the positional relationship between the light source and the correction reference, and acquires at least one image of the correction reference by the image acquisition device to be corrected. Wherein, the correction image obtained based on the at least one image may be used to perform lens shading correction on the image acquisition device. The system for acquiring an image does not require the use of an expensive integrating sphere, which may reduce purchase and maintenance costs of a testing device for obtaining a correction image.

Abstract: Embodiments of this disclosure can provide a system and method for white balancing images. During operation, the system can obtain labeled red, green, and blue (RGB) image samples captured by a plurality of cameras and generate a plurality of training tasks. A respective training task is associated with RGB image samples captured by a corresponding camera. The system can perform meta-training over the plurality of training tasks to obtain a meta model, with parameters of the meta model optimized based on a global loss function. The system can obtain an image captured by a first camera, fine-tune the meta model using labeled RGB image samples captured by the first camera to obtain a fine-tuned model specific to the first camera, and implement the fine-tuned model to white balance the image.

Abstract: In one embodiment, a method includes receiving identities of features of a first composition, and receiving a value of a property of the first composition. A learning model is trained using values of predefined characteristics of the features of the first composition, and the value of the property of the first composition. The learning model is then provided identities of second features of a second composition. Using the learning model, a value of a property of the second composition is determined and displayed.

Abstract: Provided are antibodies or fragments thereof having binding specificity to anti-IL-18 receptor alpha or beta. Methods of using the antibodies or fragments thereof for treating and diagnosing diseases such as cancer and inflammatory and autoimmune diseases are also provided.

Abstract: In one embodiment, a method includes receiving identities of features of a first composition, and receiving a value of a property of the first composition. A learning model is trained using values of predefined characteristics of the features of the first composition, and the value of the property of the first composition. The learning model is then provided identities of second features of a second composition. Using the learning model, a value of a property of the second composition is determined and displayed.

Abstract: A method of image compression, including, receiving at least one unprocessed image frame, transforming a domain of the at least one unprocessed image frame to output a transformed domain dataset, block processing the transformed domain dataset to yield a blocked dataset, quantizing the blocked dataset to produce a quantized dataset and entropy encoding the quantized dataset to construct at least one compressed image frame.

Abstract: Described herein are methods, systems and devices for rapidly detecting biomarkers in a biological sample.

Abstract: Provided are antibodies or fragments thereof having binding specificity to anti-IL-18 receptor alpha or beta. Methods of using the antibodies or fragments thereof for treating and diagnosing diseases such as cancer and inflammatory and autoimmune diseases are also provided.

Abstract: An image processing method, apparatus, and an electronic device. The method includes: adjusting an original luminance parameter of a pixel point in an image based on a luminance adjustment strategy to obtain an adjusted luminance parameter; determining a luminance change parameter of the pixel point according to the original luminance parameter and the adjusted luminance parameter, where the luminance change parameter is configured to represent a changing degree of the adjusted luminance parameter relative to the original luminance parameter; and adjusting an original saturation parameter of the pixel point based on the luminance change parameter to obtain an adjusted saturation parameter, so as to compensate for a saturation of the pixel point.

Abstract: The present invention describes a method for the detection and monitoring of xerostomia in a subject using biomarkers.