Abstract: A computer-implemented method may be provided for identifying a user device. An identification server in communication with the user device may receive a request from a browser of the user device to access, from a destination uniform resource locator (URL), an asset from the identification server. The request from the browser may be received from a website server. The asset is configured to be presented on a webpage hosted by the website server. The request from the browser may be modified to associate a new identity attribute of the user device with the request.

Abstract: The present disclosure pertains to systems and methods for modeling at least a sleep parameter for a subject. In some embodiments, a method for predicting at least a sleep parameter for a subject comprises: obtaining sleep and/or wake information related to a subject for a given period of time; estimating bedtime and/or wakeup time of the subject using a sleep model and the sleep and/or wake information; predicting at least a sleep parameter of the subject for an upcoming time interval based upon the sleep model and the estimated bedtime and/or wakeup time; obtaining physiological information of the subject; and adjusting the predicted sleep parameter for the upcoming time interval based upon the sleep model and the physiological information.

Abstract: A computer-implemented method may be provided for identifying a user device. An identification server in communication with the user device may receive a request from a browser of the user device to access, from a destination uniform resource locator (URL), an asset from the identification server. The request from the browser may be received from a website server. The asset is configured to be presented on a webpage hosted by the website server. The request from the browser may be modified to associate a new identity attribute of the user device with the request.

Abstract: A computer-implemented method may be provided for identifying a user device. An identification server in communication with the user device may receive a request from a browser of the user device to access, from a destination uniform resource locator (URL), an asset from the identification server. The request from the browser may be received from a website server. The asset is configured to be presented on a webpage hosted by the website server. The request from the browser may be modified to associate a new identity attribute of the user device with the request.

Abstract: A three-dimensional image of a patient is generated in time; blood vessels site voxels are compared to a model arterial and venous signals; clusters of voxels are separated so that ones that have spatial growth over time are determined to be bleeding sites.

Abstract: A method for identifying bleeding in a patient, comprising: receiving a four-dimensional data set comprising vascular voxels, each of the voxels representing a three-dimensional location of a time-varying signal; identifying the vascular voxels in the data set by comparing each time-varying signal of each voxel in the data set to a variance threshold; identifying, within the vascular voxels in the data set, blood vessel site voxels by comparing each time-varying signal of the vascular voxels to a model arterial and venous signals; generating clusters of voxels in the data set; separating the clusters of voxels into a subset of blood vessel site clusters and a subset of remaining clusters; identifying, within the subset of remaining clusters, one or more clusters that are spatially growing over time to determine one or more active bleed sites in the patient; and generating an alert if one or more active bleed sites are determined.