Abstract: Sequence-defined anti-SHBG and anti-IBP4 antibodies or antigen-binding fragments thereof are described. The antibodies are comprise heavy chain variable and light chain variable domains, each having sequence-specified complementarity determining regions (CDRs). Also described are nucleic acids encoding the antibodies, compositions comprising the antibodies, methods of producing the antibodies, and methods of using the antibodies and sequence-defined epitopes of the antibodies.

Abstract: A system can be configured to: (i) obtain a set of input images images depicting one or more bodily structures of a patient; (ii) determine whether one or more key structures are represented within the set of input images by utilizing a key structure detection module; (iii) determine one or more key images of the one or more images of the set of input images by utilizing a key image localization module; (iv) determine key structure segmentation by utilizing a key structure segmentation module; (v) determine one or more patient condition metrics using the key structure segmentation; and (vi) generate a report associated with the patient based upon the one or more patient condition metrics, or generate an entry at one or more practitioner worklists based upon the one or more patient condition metrics.

Abstract: A computer-implemented method for facilitating opportunistic screening for cardiomegaly includes obtaining a set of computed tomography (CT) images. The set of CT images captures at least a portion of a heart of a patient, and the set of CT images is captured for a purpose independent of assessing cardiomegaly. The method further includes using the set of CT images as an input to an artificial intelligence (AI) module configured to determine a heart measurement based on CT image set input. The method also includes obtaining heart measurement output generated by the AI module and, based on the heart measurement output, classifying the patient into one of a plurality of risk levels for cardiomegaly. The classification is operable to trigger additional action based on the corresponding risk level for the patient.

Abstract: A system for facilitating lesion analysis accesses a first data structure comprising a plurality of entries including anatomic location information and annotation information associated with a plurality of lesions represented in a first set of cross-sectional images. The system displays a respective representation of each of the plurality of entries and presents a second set of cross-sectional images. The system receives user input triggering selection of a particular entry of the plurality of entries of the first data structure.

Abstract: A system can be configured to: (i) obtain a set of input images depicting one or more bodily structures of a patient; (ii) determine whether one or more key structures are represented within the set of input images by utilizing a key structure detection module; (iii) determine one or more key images of the one or more images of the set of input images by utilizing a key image localization module; (iv) determine key structure segmentation by utilizing a key structure segmentation module; (v) determine one or more patient condition metrics using the key structure segmentation; and (vi) generate a report associated with the patient based upon the one or more patient condition metrics, or generate an entry at one or more practitioner worklists based upon the one or more patient condition metrics.

Abstract: A method for ascertaining pulmonary fibrosis disease progression or treatment response includes obtaining a first set of computed tomography (CT) images of a lung and determining a first Pulmonary Surface Index (PSI) score for the lung by detecting a first actual lung boundary of the lung within the first set of CT images, determining a first approximated lung boundary within the first set of CT images, and determining the PSI score using inputs based on the first actual lung boundary and the first approximated lung boundary. The method also includes obtaining a second set of CT images of the lung and determining a second PSI score for the lung using inputs based on a second actual lung boundary and a second approximated lung boundary. The method also includes assessing pulmonary fibrosis treatment response or disease progression based on the first PSI score and the second PSI score.

Abstract: Disclosed are polymeric compositions useful for making articles containing cavities. The compositions include a continuous polymeric phase and a cavitation agent dispersed in the continuous polymeric phase. The continuous polymeric phase includes a polyolefin, and the cavitation agent includes an ionomer, except for ethylene-based and propylene-based ionomers. Cavitating polyolefins with ionomeric cavitation agents can offer various advantages, such as a lower cavitated film density at colder extrusion temperatures and a lower cavitated film density at higher orientation temperatures.

Abstract: A system can be configured to: (i) obtain a set of input images depicting one or more bodily structures of a patient; (ii) determine whether one or more key structures are represented within the set of input images by utilizing a key structure detection module; (iii) determine one or more key images of the one or more images of the set of input images by utilizing a key image localization module; (iv) determine key structure segmentation by utilizing a key structure segmentation module; (v) determine one or more patient condition metrics using the key structure segmentation; and (vi) generate a report associated with the patient based upon the one or more patient condition metrics, or generate an entry at one or more practitioner worklists based upon the one or more patient condition metrics.

Abstract: A method for generating a medical record note comprises (i) accessing a corpus of medical documentation for a particular patient; (ii) receiving, at a user interface, chief complaint input indicating a chief complaint associated with the particular patient; (iii) utilizing (a) the chief complaint and (b) at least a portion of the corpus of medical documentation for the particular patient as input to a set of artificial intelligence (AI) modules, the set of AI modules being trained to generate medical record note output in response to medical documentation input; and (iv) generate a medical record note for the particular patient based on output of the set of AI modules.

Abstract: A system for facilitating image finding analysis includes one or more processors and one or more hardware storage devices storing instructions that are executable by the one or more processors to configure the system to perform acts such as (i) presenting an image on a user interface, the image being one of a plurality of images provided on the user interface in a navigable format, (ii) obtaining a voice annotation for the image, the voice annotation being based on a voice signal of a user, and (iii) binding the voice annotation to at least one aspect of the image, wherein the binding modifies metadata of the image based on the voice annotation.

Abstract: Apparatus and methods are disclosed, including transistors, memory devices and systems. Example transistors, memory devices, systems and methods include an inter-gate dielectric structure between adjacent gates, wherein the inter-gate dielectric structure includes a first dielectric material adjacent a fin channel, and a second dielectric material different from the first dielectric material located over the first dielectric material.

Abstract: In an embodiment, the present disclosure provides a composition composed of (A) a continuous phase composed of an olefin-based polymer, and (B) particles of a voiding agent dispersed in the continuous phase, the voiding agent composed of a functionalized styrene polymer having a glass transition temperature greater than or equal to 90° C. In another embodiment, the present disclosure provides an oriented article having (A) a continuous phase composed of an olefin-based polymer, and (B) particles of a voiding agent dispersed in the continuous phase. The voiding agent is composed of a functionalized styrene polymer having a glass transition temperature greater than or equal to 90° C. The oriented article includes (C) a plurality of elongated voids dispersed throughout the continuous phase. The oriented article has a density less than 0.9 g/cc.

Abstract: Apparatus and methods for sharing bookmarks are provided. Bookmarks may include queries to a chatbot or other interactive application. A server may include a shared bookmark controller and a personal computing device may include a user bookmark controller. A user may save a bookmark and share the bookmark with a chosen recipient. The user bookmark controller may send the bookmark and the identity of the recipient to the shared bookmark controller. The shared bookmark controller may then send the bookmark to the recipient and record whether the recipient saves or rejects the bookmark. Bookmarks may be collated and categorized into groups, and entire groups may be shared.

Abstract: In some examples, a system monitors a network that includes a collection of interconnected virtual network functions (VNFs), the monitoring comprising receiving control information from a VNF of the VNFs, the control information specifying an action to take to address an issue detected by the VNF. Responsive to the monitoring, the system modifies an allocation of resources to the VNF.

Abstract: In some examples, a first virtual network function (VNF) that is part of a collection of interconnected VNFs detects a service interruption in a network that includes the collection interconnected VNFs. In response to detecting the service interruption, the first VNF sends control information to a target entity, the control information specifying an action to take to change a communication flow through the collection of interconnected VNFs.

Abstract: Apparatus and methods for sharing bookmarks are provided. Bookmarks may include queries to a chatbot or other interactive application. A server may include a shared bookmark controller and a personal computing device may include a user bookmark controller. A user may save a bookmark and share the bookmark with a chosen recipient. The user bookmark controller may send the bookmark and the identity of the recipient to the shared bookmark controller. The shared bookmark controller may then send the bookmark to the recipient and record whether the recipient saves or rejects the bookmark. Bookmarks may be collated and categorized into groups, and entire groups may be shared.

Abstract: A system for facilitating image finding analysis includes one or more processors and one or more hardware storage devices storing instructions that are executable by the one or more processors to configure the system to perform acts such as (i) presenting an image on a user interface, the image being one of a plurality of images provided on the user interface in a navigable format, (ii) obtaining a voice annotation for the image, the voice annotation being based on a voice signal of a user, and (iii) binding the voice annotation to at least one aspect of the image, wherein the binding modifies metadata of the image based on the voice annotation.

Abstract: Apparatus and methods for sharing bookmarks are provided. Bookmarks may include queries to a chatbot or other interactive application. A server may include a shared bookmark controller and a personal computing device may include a user bookmark controller. A user may save a bookmark and share the bookmark with a chosen recipient. The user bookmark controller may send the bookmark and the identity of the recipient to the shared bookmark controller. The shared bookmark controller may then send the bookmark to the recipient and record whether the recipient saves or rejects the bookmark. Bookmarks may be collated and categorized into groups, and entire groups may be shared.

Abstract: An interface module in a user space intercepts a call from a first virtual process, the call to cause communication of data from the first virtual process to a second virtual process. The interface module accesses mapping information to redirect the communication of data to the second virtual process without passing through the protocol stack of a kernel, the mapping information comprising entries each including network addresses used in identifying a respective connection between corresponding virtual processes.

Abstract: Example implementations relate to a data processing method for monitoring at least one performance metric associated with a characteristic of a virtual network function; the method comprising instantiating the virtual network function, monitoring said at least one performance metric associated with the characteristic of the virtual network function; and adapting allocated resources supporting the virtual network function according to said monitoring.