Abstract: This disclosure relates generally to and, more particularly, to assessment of PCOS. Polycystic ovarian syndrome (PCOS) is a hormonal disorder common among women of reproductive age that causes infertility and affects overall health of the woman. As PCOS is common and curable cause of infertility, an efficient early screening to assess a potential risk of PCOS can ensure early treatment. The current state-of-the-art techniques include diagnostic, screening solutions, imaging techniques which are invasive, complex, expensive. The disclosure is a supervised machine learning algorithm on the samples of individuals to arrive at a panel of biological features/indicators/markers/signatures that can accurately stratify/classify/group individuals into ‘PCOS’ and ‘healthy’ based upon the differences in the composition of the gut/oral microbial communities.

Abstract: The present disclosure is related to methods and systems for predicting a category of mammographic breast density (MBD) for a subject using a microbial profile obtained from biological sample of the subject. The state-of-art diagnostic/screening strategies for breast cancer are limited by one or more of factors like technical shortcomings, radiation exposure, and physical discomfort. In the present disclosure, a biological sample is collected from a subject. Then a quantitative abundance of each of a plurality of predetermined microbes associated with the biological sample is determined using a set of probes through a multiplex quantitative Polymerase Chain Reaction (qPCR) technique. Further the quantitative abundance is collated to obtain a microbial abundance matrix. Next a model score is determined based on the microbial abundance matrix, using a pre-determined machine learning (ML) model. Lastly the risk category of breast cancer of the subject is assessed based on the model score.

Abstract: The present disclosure is related to method and system for identifying and utilizing frugal markers for classification of biological sample. Discovering an optimal and/or frugal set of features/biomarkers form a large set of features measured through high-throughput screening techniques, which can characterize a disease/anomaly with sufficient accuracy, still remains a challenge. According to the present disclosure, given a set of measurements of multiple features characterizing biological samples obtained from disease cases and healthy controls, a classification model combining the measured values of a small subset of the features is computed. The classification model is then used for classifying between disease cases and healthy controls.

Abstract: The present disclosure is related to a method and system for stratification of subjects as one of responders or non-responders to a therapy. It is imperative to critically evaluate the baseline/initial microbiome structure and composition of individuals and stratifying them before prescribing any microbiome-based drug/dietary interventions. The method identifies a panel of biological features/indicators/markers/signatures that can accurately stratify/classify/group individuals into responders and non-responders (for a given microbiome-based drug/therapy) based upon the differences in the metabolic functions of the gut microbial communities between the baseline gut microbiome profile (i.e. before the administration of an intervention) and after treatment gut microbiome profile (i.e. after the administration of the intervention).

Abstract: This is a method and a system for designing a personalized therapeutic intervention for an individual. Each individual has a unique composition of microbiome in the gut, one probiotic or dietary regimen may not have same efficacy in different individuals. The disclosure recommends a personalized therapeutic intervention for improving gut health of an individual by designing personalized therapeutics and diet based on functions of microbiome. The personalized therapeutic intervention is recommended based on several steps including generating a set of knowledge bases, identifying a change in the gut health of an individual by monitoring the gut samples and recommending a personalized therapeutic intervention. The personalized therapeutic intervention comprises at least one of a prebiotic, a probiotic and an optimized diet, wherein the optimized diet is estimated based on optimizing a gut food score, where the gut food score is computed based on the change in the gut health of an individual.

Abstract: Assigning wireless resources to a device based on usage context and predicting future demand for wireless resources. Connections to available wireless resources are made according to usage context and managed according to predicted future resource needs. An artificial intelligence prediction module and a supervised learning engine establish a proposed wireless resource usage plan. The available wireless resources are evaluated with reference to the usage plan and connections are made according to the evaluations.

Abstract: A method may include operations including, receiving, at an application program interface (API) of a third party computing system, an API call related to a dispute associated with a user of an electronic device, the call being received from an electronic device to invoke a dispute resolution to the dispute. The method may include communicating, by the API in response to the API call, dispute information to dispute resolution intelligence of the third-party computing system. The method may include determining, by the dispute resolution intelligence based on the dispute information, the decision with respect to the dispute, and providing the decision to a callback interface in response to the dispute information having been received from the API. The method may additionally include communicating, by the callback interface to the electronic device identified in response to the dispute information having been received from the API, the decision to the dispute resolution.

Abstract: There are provided systems and methods for authentication depending on device capabilities and user requests based on situational information collected in advance of a device becoming non-operational. A user may wish to utilize some device process, such as access and use of a device application or other module. For example, a user may wish to utilize a payment application of the communication device, or authenticate the user using a service provider accessible through the communication device. If the communication device becomes non-operational (e.g., lack of power or signal strength), the user may be prevented from authenticating through the communication device. Thus, the user may establish a limited use authentication credential from situational data to the user and device (e.g., location or current image) that allows the user to authenticate with the service provider. The authentication credential may be limited to a location, amount, and/or type of authentication.

Abstract: Schizophrenia is a chronic and severe psychiatric disorder that affects how a person thinks, feels, and behaves. If Schizophrenia is diagnosed early, most symptoms of Schizophrenia can be managed with appropriate medical interventions. A system and method for assessing the risk of Schizophrenia in a person has been provided. The system is configured to assess individuals to check the presence or absence of Schizophrenia, by quantifying the abundance of sensory proteins in their microbiome. The disclosure relates to a defined methodology that involves assessment and categorization of the person into healthy and schizophrenic based on the abundance of sensory proteins in the microbiome. The systems and methods further describe microbiota based therapeutics for management of Schizophrenia through generating a therapeutic model and administering a consortium of healthy microbes which could modulate the disease microbiome composition towards a healthy equilibrium.

Abstract: Colorectal cancer is a severe disease, if not assessed properly, it may lead to the death of an individual. A system and method for assessing the risk of colorectal cancer has been provided. The system is configured to assess individuals to check the risk of presence of colorectal cancer (CRC) and/or adenomatous (colonic/rectal) polyps, by quantifying the abundance of sensory proteins in their gut microbiome. The system further categorizes the person into one of healthy, adenoma and cancerous categories based on the nature and abundance of sensory proteins in the gut microbiome. The system further describes microbiota based therapeutics for treatment of the person with colorectal adenoma and/or cancer through administration of at least one of a consortium of healthy microbes, antibiotic drugs and pre-/pro-/syn-/post-biotic compounds or fecal microbiome transplant which could modulate the disease microbiome composition towards a healthy equilibrium.

Abstract: A method may include operations including, receiving, at an application program interface (API) of a third party computing system, an API call related to a dispute associated with a user of an electronic device, the call being received from an electronic device to invoke a dispute resolution to the dispute. The method may include communicating, by the API in response to the API call, dispute information to dispute resolution intelligence of the third-party computing system. The method may include determining, by the dispute resolution intelligence based on the dispute information, the decision with respect to the dispute, and providing the decision to a callback interface in response to the dispute information having been received from the API. The method may additionally include communicating, by the callback interface to the electronic device identified in response to the dispute information having been received from the API, the decision to the dispute resolution.

Abstract: There are provided systems and methods for authentication depending on device capabilities and user requests based on situational information collected in advance of a device becoming non-operational. A user may wish to utilize some device process, such as access and use of a device application or other module. For example, a user may wish to utilize a payment application of the communication device, or authenticate the user using a service provider accessible through the communication device. If the communication device becomes non-operational (e.g., lack of power or signal strength), the user may be prevented from authenticating through the communication device. Thus, the user may establish a limited use authentication credential from situational data to the user and device (e.g., location or current image) that allows the user to authenticate with the service provider. The authentication credential may be limited to a location, amount, and/or type of authentication.

Abstract: A method for selecting an optimal browser to launch a URL via an iterative process. A distance is calculated between a value of a performance parameter for each browser and a mean of each cluster of browsers. Each browser is assigned to a cluster having the smallest distance. The mean of each cluster is re-determined. The iterative process continues until the mean of each cluster is identical to the immediately preceding mean of the cluster. Next, a cluster is chosen based on which cluster is closer to an origin point. An optimal browser is chosen from the chosen cluster based on which browser is closest to the origin point. A message is provided to a user to prompt the user to launch a website on the chosen browser and an action to launch the chosen browser to display the website is detected.

Abstract: There are provided systems and methods for authentication depending on device capabilities and user requests based on situational information collected in advance of a device becoming non-operational. A user may wish to utilize some device process, such as access and use of a device application or other module. For example, a user may wish to utilize a payment application of the communication device, or authenticate the user using a service provider accessible through the communication device. If the communication device becomes non-operational (e.g., lack of power or signal strength), the user may be prevented from authenticating through the communication device. Thus, the user may establish a limited use authentication credential from situational data to the user and device (e.g., location or current image) that allows the user to authenticate with the service provider. The authentication credential may be limited to a location, amount, and/or type of authentication.

Abstract: A method may include receiving a plurality of samples that include textual content. The method may include extracting unit values, corresponding to structural units, from the plurality of samples. The structural units may identify characteristics of the plurality of samples to be used to identify pattern information. The pattern information may identify unit values that are shared between at least two samples of the plurality of samples. The method may include generating one or more structural representations based on the unit values. The one or more structural representations may identify the pattern information. The method may include generating one or more additional samples based on the one or more structural representations. The one or more additional samples may include at least one of the unit values, and may be generated based on the pattern information. The method may include outputting the one or more additional samples.

Abstract: A method and system is provided for selecting an optimal browser to launch a URL via an iterative process. A distance is calculated between a value of a performance parameter for each browser and a mean of each cluster of browsers. Each browser is assigned to a cluster having the smallest distance. The mean of each cluster is re-determined. The iterative process continues until the mean of each cluster is identical to the immediately preceding mean of the cluster. Next, a cluster is chosen based on which cluster is closer to an origin point. An optimal browser is chosen from the chosen cluster based on which browser is closest to the origin point. A message is provided to a user to prompt the user to launch a website on the chosen browser and an action to launch the chosen browser to display the website is detected.

Abstract: A method may include receiving a plurality of samples that include textual content. The method may include extracting unit values, corresponding to structural units, from the plurality of samples. The structural units may identify characteristics of the plurality of samples to be used to identify pattern information. The pattern information may identify unit values that are shared between at least two samples of the plurality of samples. The method may include generating one or more structural representations based on the unit values. The one or more structural representations may identify the pattern information. The method may include generating one or more additional samples based on the one or more structural representations. The one or more additional samples may include at least one of the unit values, and may be generated based on the pattern information. The method may include outputting the one or more additional samples.

Abstract: There are provided systems and methods for authentication depending on device capabilities and user requests based on situational information collected in advance of a device becoming non-operational. A user may wish to utilize some device process, such as access and use of a device application or other module. For example, a user may wish to utilize a payment application of the communication device, or authenticate the user using a service provider accessible through the communication device. If the communication device becomes non-operational (e.g., lack of power or signal strength), the user may be prevented from authenticating through the communication device. Thus, the user may establish a limited use authentication credential from situational data to the user and device (e.g., location or current image) that allows the user to authenticate with the service provider. The authentication credential may be limited to a location, amount, and/or type of authentication.

Abstract: Techniques for automating insurance claim processing are provided. The techniques include obtaining at least one rule from historical data, using the at least one rule to segment a dataset, wherein segmenting the dataset comprises using an iterative process involving a pattern classification technique, using the segmented dataset to determine if a claim can be automatically settled, and automatically settling a claim if it is determined that the claim can be automatically settled.

Abstract: Techniques for automating insurance claim processing are provided. The techniques include obtaining at least one rule from historical data, using the at least one rule to segment a dataset, wherein segmenting the dataset comprises using an iterative process, and wherein the iterative process comprises a decision tree, using the segmented dataset to determine if a claim can be automatically settled, and automatically settling a claim if it is determined that the claim can be automatically settled.