Abstract: Presented herein are systems and methods of quantifying conditions on biomedical images. A computing system may identify a first biomedical image in a first staining modality. The first biomedical image having at least one region of interest (ROI) corresponding to a condition. The computing system may apply a trained image segmentation model to the first biomedical image. The trained image segmentation model may generate a second biomedical image in a second staining modality using the first biomedical image in the first staining modality. The trained image segmentation model may generate a segmented biomedical image using the first biomedical image and the second biomedical image. The computing system may determine a score for the condition based on one or more ROIs identified in the segmented biomedical image. The computing system may provide an output based on the second biomedical, image, the score for condition, or the segmented biomedical image.

Abstract: Disclosed are treatments for cancer that enhance a patient immune systems' ability to detect and attack cancer. The present disclosure provides methods for treating cancer in a subject in need thereof comprising administering to the subject an effective amount of a pregnancy specific glycoprotein (PSG) inhibitor.