Abstract: A system for cardiac signal processing, preferably including any or all of: a data collection device, a set of computing and/or processing subsystems, a set of algorithms and/or models, and/or a set of output devices. A method for cardiac signal processing, preferably including processing a set of inputs to determine a set of metrics and determining a set of outputs based on the set of metrics and/or a set of supplementary metrics, and optionally including any or all of: receiving a set of inputs, determining a set of supplementary metrics associated with the set of metrics, and/or triggering the set of outputs.

Abstract: Attenuated viruses and methods of designing them are disclosed. In one embodiment, there is disclosed an attenuated form of a virulent virus comprising an RNA encoding a viral protein or a nucleic acid sequence transcribable to said RNA, wherein the folding energy or structure of the RNA is changed at positions of evolutionarily conserved RNA structures with respect to that of said RNA encoding said viral protein in the virulent virus so as to bring about attenuation of the virus.

Abstract: Attenuated viruses and methods of designing them are disclosed. In one embodiment, there is disclosed an attenuated form of a virulent virus comprising an RNA encoding a viral protein or a nucleic acid sequence transcribable to said RNA, wherein the folding energy or structure of the RNA is changed at positions of evolutionarily conserved RNA structures with respect to that of said RNA encoding said viral protein in the virulent virus so as to bring about attenuation of the virus.

Abstract: Attenuated viruses and methods of designing them are disclosed. In one embodiment, there is disclosed an attenuated form of a virulent virus comprising an RNA encoding a viral protein or a nucleic acid sequence transcribable to said RNA, wherein the folding energy or structure of the RNA is changed at positions of evolutionarily conserved RNA structures with respect to that of said RNA encoding said viral protein in the virulent virus so as to bring about attenuation of the virus.

Abstract: There is provided a system for computing a single-label neural network for detection of an indication of an acute medical condition, comprising: hardware processor(s) executing a code for: providing a multi-label training dataset including anatomical images each associated with a label indicative of visual finding type(s), or indicative of no visual finding types, training a multi-label neural network for detection of the visual finding types(s) in a target anatomical image according to the multi-label training dataset, creating a single-label training dataset including anatomical images each associated with a label indicative of the selected single visual finding type, or indicative of an absence of the single visual finding type, and training a single-label neural network for detection of the single visual finding type, by setting the trained multi-label neural network as an initial baseline of the single-label neural network, and fine-tuning and/or re-training the baseline according to the single-label tra

Abstract: A system for prioritizing patients for treatment, comprising: at least one hardware processor executing a code for: feeding anatomical images into a visual filter neural network for outputting a category indicative of a target body region depicted at a target sensor orientation and a rotation relative to a baseline, rejecting a sub-set of anatomical images classified into another category, rotating to the baseline images classified as rotated, identifying pixels for each image having outlier pixel intensity values denoting an injection of content, adjusting the outlier pixel intensity values to values computed as a function of non-outlier pixel intensity values, feeding each the remaining sub-set of images with adjusted outlier pixel intensity values into a classification neural network for detecting the visual finding type, generating instructions for creating a triage list for which the classification neural network detected the indication, wherein patients are selected for treatment based on the triage lis

Abstract: Nucleic acid molecules comprising a coding sequence with at least one codon substituted to a synonymous codon, a modified form of a virus comprising the nucleic acid molecules of the invention, and methods for producing these nucleic acid molecules, and viruses, are provided.

Abstract: There is provided a system for computing a single-label neural network for detection of an indication of an acute medical condition, comprising: hardware processor(s) executing a code for: providing a multi-label training dataset including anatomical images each associated with a label indicative of visual finding type(s), or indicative of no visual finding types, training a multi-label neural network for detection of the visual finding types(s) in a target anatomical image according to the multi-label training dataset, creating a single-label training dataset including anatomical images each associated with a label indicative of the selected single visual finding type, or indicative of an absence of the single visual finding type, and training a single-label neural network for detection of the single visual finding type, by setting the trained multi-label neural network as an initial baseline of the single-label neural network, and fine-tuning and/or re-training the baseline according to the single-label tra

Abstract: A system for prioritizing patients for treatment, comprising: at least one hardware processor executing a code for: feeding anatomical images into a visual filter neural network for outputting a category indicative of a target body region depicted at a target sensor orientation and a rotation relative to a baseline, rejecting a sub-set of anatomical images classified into another category, rotating to the baseline images classified as rotated, identifying pixels for each image having outlier pixel intensity values denoting an injection of content, adjusting the outlier pixel intensity values to values computed as a function of non-outlier pixel intensity values, feeding each the remaining sub-set of images with adjusted outlier pixel intensity values into a classification neural network for detecting the visual finding type, generating instructions for creating a triage list for which the classification neural network detected the indication, wherein patients are selected for treatment based on the triage lis

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: Attenuated viruses and methods of designing them are disclosed. In one embodiment, there is disclosed an attenuated form of a virulent virus comprising an RNA encoding a viral protein or a nucleic acid sequence transcribable to said RNA, wherein the folding energy or structure of the RNA is changed at positions of evolutionarily conserved RNA structures with respect to that of said RNA encoding said viral protein in the virulent virus so as to bring about attenuation of the virus.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: Various disclosed embodiments relate to video content analysis based in part upon the detection of shot transitions. In some embodiments, a process and computer system for detecting shot transitions in a video is used to separate a video sequence into a series of “shots” having multiple frames. These shots may then be used for additional processing, e.g., content detection within the video frames.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: Various disclosed embodiments relate to video content analysis based in part upon the detection of shot transitions. In some embodiments, a process and computer system for detecting shot transitions in a video is used to separate a video sequence into a series of “shots” having multiple frames. These shots may then be used for additional processing, e.g., content detection within the video frames.

Abstract: Various disclosed embodiments relate to video content analysis based in part upon the detection of shot transitions. In some embodiments, a process and computer system for detecting shot transitions in a video is used to separate a video sequence into a series of “shots” having multiple frames. These shots may then be used for additional processing, e.g., content detection within the video frames.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.