Abstract: The present disclosure relates, inter alia, to compositions and methods, including heterodimeric proteins, including a heterodimeric protein comprising BTN2A1/3A1-Fc- and an scFv that specifically binds to a cancer targeting domain, that find use in the treatment of disease, such as immunotherapies for cancer and autoimmunity.

Abstract: The present invention relates to compositions of peptide inhibitors of the interleukin-23 receptor (IL-23R) or pharmaceutically acceptable salt or solvate forms thereof, corresponding pharmaceutical compositions, methods and/or uses for treatment of autoimmune inflammation and related diseases and disorders.

Abstract: A method for increasing the progression free survival or overall survival of a patient with cancer comprising: determining if the cancer has a surrounding microenvironment that is favorable to immune modulation; determining if the chemotherapy regimen induces immunogenic cell death, and if both are yes, administering an effective amount of a CDK 4/6 inhibitor selected from Compounds I, II, III, IV, or V, or a pharmaceutically acceptable salt thereof, wherein the CDK4/6 inhibitor is administered prior to the administration of the chemotherapy or optionally prior to and concurrently with chemotherapy; and, wherein the increase in progression free survival or overall survival is in comparison to the progression free survival or overall survival based on administration of the chemotherapy alone, either based on literature or otherwise publicly available evidence, a comparative during preclinical or clinical trials, or other means accepted by persons skilled in the field.

Abstract: This technology relates to optimizing location and orientation information of an image using known locations of places captured within the image. For example, an image and associated pose data including the image's orientation and location may be received. One or more places captured within the image may be determined, with each place having a respective known location. The image may be annotated with the one or more places. A difference between each annotation and its respective known location to obtain updated pose data of the image may be minimized and the associated pose data may be updated to the updated pose data.

Abstract: This technology relates to optimizing location and orientation information of an image using known locations of places captured within the image. For example, an image and associated pose data including the image's orientation and location may be received. One or more places captured within the image may be determined, with each place having a respective known location. The image may be annotated with the one or more places. A difference between each annotation and its respective known location to obtain updated pose data of the image may be minimized and the associated pose data may be updated to the updated pose data.

Abstract: In one aspect, a request to alter a first image is received. The request includes a portion of the first image that is provided for display with a second image. The second image is associated with three-dimensional (3D) geometry data for an object depicted in both the first and second images and date information identifying when the second image was captured. Input identifying an area of the second image is received. A third image is identified based on the date information of the third image and the second image. The third image is associated with 3D geometry data for the object. An area of the third image is determined based on the 3D geometry data of the second image, the 3D geometry data of the second image, and the area of the second image. Information identifying the area of the third image is provided for display with the third image.

Abstract: In one aspect, a request to alter a first image is received. The request includes a portion of the first image that is provided for display with a second image. The second image is associated with three-dimensional (3D) geometry data for an object depicted in both the first and second images and date information identifying when the second image was captured. Input identifying an area of the second image is received. A third image is identified based on the date information of the third image and the second image. The third image is associated with 3D geometry data for the object. An area of the third image is determined based on the 3D geometry data of the second image, the 3D geometry data of the second image, and the area of the second image. Information identifying the area of the third image is provided for display with the third image.