Abstract: Described herein are methods and computer systems for classification of CD8 T-cell topology using a patient response-based linear cutoff model. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. Real inflammation scores and tumor infiltration scores are determined based on a polar coordinate transformation of the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the real inflammation scores and tumor infiltration scores, a feature space is generated, and linear boundaries or linear cutoffs between a plurality of classifications in the feature space are identified based on the real inflammation scores, the tumor infiltration scores, and patient response data.

Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: Systems and methods for providing semantically enhanced financial information are provided. Semantic information integration and computing technologies may be utilized to create and maintain an up-to-date semantic graph encapsulating with nodes and links the business associations among companies, assets, and financial instruments in an industry. The systems and methods provide and use an up-to-date knowledge map for an industry in which an entity, such as a company, operates.

Abstract: Systems and methods are provided to enhance biometric data available to authorities to identify individuals by linking the available biometric data semantically to data from other sources to improve identity management using a semantic computing server that builds a semantic graph based on the data. Using a semantic graph helps determine the identity and possible intention to deceive of certain individuals.