Abstract: The present disclosure is directed to improved peptide immunogen constructs targeting portions of the Tau protein for the treatment and/or prevention of tauopathies. The present disclosure is also directed to improved peptide immunogen constructs targeting portions of the amyloid beta protein for the treatment and/or prevention of tauopathies. The present disclosure is also directed to compositions and kits containing the peptide immunogen constructs, in particular compositions and kits comprising combinations of various peptide immunogen constructs. Methods of making and using the peptide immunogen constructs, and antibodies produced by the peptide immunogen constructs, are also provided herein. In some aspects, the disclosure is directed to compositions comprising peptide immunogen constructs based on portions of the Tau protein and peptide immunogen constructs based on portions of the amyloid beta protein, and use of these peptide immunogen constructs and compositions in therapeutic methods.

Abstract: The present disclosure is directed to individual peptide immunogen constructs targeting portions of the Tau protein for the treatment and/or prevention of tauopathies. The present disclosure is also directed to compositions containing the peptide immunogen constructs, methods of making and using the peptide immunogen constructs, and antibodies produced by the peptide immunogen constructs.

Abstract: The present disclosure relates to development and performance of screening methods capable of efficiently identifying candidate lead compounds that bind regulatory RNA oligonucleotides in a sequence-specific manner and exert a biological effect upon such regulatory molecules. Candidate lead compounds possessing RNA binding sequence specificity and targeted biological activity are described, as are approaches for merging structural, NMR-derived data with biological reporter assay results. Compound validation approaches capable of identifying the site(s) of action of such compounds within targeted RNA oligonucleotides are also provided.

Abstract: The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.

Abstract: The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.

Abstract: The present disclosure describes systems and methods to classify and authenticate ID documents based on the information contained on the face of the ID document. This present system can automatically classify, authenticate, and extracting data from documents using artificial intelligence (AI) based machine learning for image recognition. In some implementations, the machine learning techniques include a convolutional neural network. The system can also determine the authenticity of other documents, such as currency, stamps, and invoices.

Abstract: The present disclosure describes systems and methods to classify and authenticate ID documents based on the information contained on the face of the ID document. This present system can automatically classify, authenticate, and extracting data from documents using artificial intelligence (AI) based machine learning for image recognition. In some implementations, the machine learning techniques include a convolutional neural network. The system can also determine the authenticity of other documents, such as currency, stamps, and invoices.

Abstract: Herein, compounds and compositions for use in treating diseases relating to inclusion formation and stress granules are described. Methods for screening for modulation of TDP-43 aggregation are also described.

Abstract: Herein, methods of modulating inclusion formation and stress granules in cells are described. The methods comprise contacting a cell with an inclusion inhibitor. Methods for screening for modulators of TDP-43 aggregation are also described.