Abstract: Techniques are described for using artificial intelligence (i.e., machine learning) to identify a system problem. Multiple machine learning stages, or models, are used to better categorize inputs and more quickly derive a reliable solution. Each subsequent model identifies a more specific category than a previous model, i.e., each successive model operates on a more granular level. The described techniques include staged machine learning models and user interface elements that are used to train a system and support an application development process. These techniques can be used to more easily create logic that is directed to solving a problem in a particular system.

Abstract: Methods of detecting, including early detection, of cancer mediated by SARS-CoV-2 and HPV, may include detection of such viral infections alone or together with one or more biomarkers selected from gene specific DNA methylation levels, whole genome DNA methylation levels, host RNA expression levels, T-Cell receptor amount or clonality, B-Cell receptor amount or clonality, microbiome. One method includes analysis of SARS-CoV-2 nucleic acid and the one or more biomarkers from samples of the same tissue, biofluid, or both. These methods are useful for, among other things, assessing the effectiveness of treatment, monitoring relapse, and clinical staging of cancer. These methods are also useful for among other things to monitor the effectiveness of strategies and therapies used to modify lifestyle and contextual effects to prevent disease, foster wellness and enable health promotion.

Abstract: A performance management engine may be implemented to continuously detecting entity performance issues. The performance management engine may calculate one or more key performance indicators (KPIs) that measure performance of an entity. The performance management engine may further receive one or more additional sources of data regarding the entity via a data management platform that interfaces with multiple data sources. The performance management engine may aggregate the KPIs and the one or more additional sources of data into datasets according to one or more grouping parameters. The data in one or more datasets may be analyzed by the performance management engine to generate one or more comprehensive performance indicators. The comprehensive performance indicators are then provided for display on a user device. Each KPI or comprehensive performance indicator measures performance of a device, a component, a node, or a service of the entity.

Abstract: A method and system of creating an alert for a monitored network system. Key performance indicators (KPI's) of a plurality of components of a monitored network system are displayed on a user interface. A selection of one or more components of the plurality of components related to a malfunction is received. A present status and/or a pattern of performance of the one or more selected components is extracted. A preliminary alert is created based on the at least one of (i) the present status and (ii) the pattern of performance of the one or more selected components. Historical data related to the one or more selected components is retrieved. The preliminary alert is trained based on at least some of the retrieved historical scenarios. The preliminary alert is promoted to a primary alert upon training the preliminary to a confidence level that is above a predetermined threshold.

Abstract: In accordance with one or more embodiments, the inventors have conducted the first comprehensive integrated genomic and epigenomic analysis in HNSCC, focusing on identifying genes that have concurrent promoter methylation, mutation and expression downregulation. The intersection of unbiased genome-wide methylation sequencing and methylation array screens uncovered 316 genes, which undergo promoter methylation in HNSCC. Close to 60% concordance was found between concurrent greater promoter methylation and gene downregulation, with PAX1 and PAX5 exhibiting the greatest expression loss. Methods for analyzing tissue samples from a subject for increased risk of poor survival outcomes from HNSCC are provided. Kits for measuring promoter methylation of the genes are also provided.

Abstract: Methods and kits for triaging a human papillomavirus (HPV)-positive woman into colposcopy are disclosed. The methods comprise determining the promoter methylation level of the promoter regions of a group of genes (e.g., viral and host genes) that exhibit increased promoter methylation in women having CIN2+ lesions as compared to women having no intraepithelial lesions or malignancy (NILM).

Abstract: A performance management engine may be implemented to continuously detecting entity performance issues. The performance management engine may calculate one or more key performance indicators (KPIs) that measure performance of an entity. The performance management engine may further receive one or more additional sources of data regarding the entity via a data management platform that interfaces with multiple data sources. The performance management engine may aggregate the KPIs and the one or more additional sources of data into datasets according to one or more grouping parameters. The data in one or more datasets may be analyzed by the performance management engine to generate one or more comprehensive performance indicators. The comprehensive performance indicators are then provided for display on a user device. Each KPI or comprehensive performance indicator measures performance of a device, a component, a node, or a service of the entity.

Abstract: Integrated application development and deployment may speed up application development. The continuous integration component of a software development engine may generate a completed version of a deployment project in a development environment by at least generating an updated version of a first project element concurrently with integrating an initial version of the first project element with an initial version of a second project element. The updated version of the first project element is then integrated with the initial version of the second project element to generate the completed version. An orchestration component may configure a production environment to execute a production image that is a copy of a development image that is created from the completed version, in which the production environment is mirrored by the development environment. The continuous integration tool may also include an automatic deployment component that deploys the production image into the production environment for execution.

Abstract: A performance management engine may be implemented to continuously detecting entity performance issues. The performance management engine may calculate one or more key performance indicators (KPIs) that measure performance of an entity. The performance management engine may further receive one or more additional sources of data regarding the entity via a data management platform that interfaces with multiple data sources. The performance management engine may aggregate the KPIs and the one or more additional sources of data into datasets according to one or more grouping parameters. The data in one or more datasets may be analyzed by the performance management engine to generate one or more comprehensive performance indicators. The comprehensive performance indicators are then provided for display on a user device. Each KPI or comprehensive performance indicator measures performance of a device, a component, a node, or a service of the entity.

Abstract: Methods and kits for triaging a human papillomavirus (HPV)-positive woman into colposcopy are disclosed. The methods comprise determining the promoter methylation level of the promoter regions of a group of genes (e.g., viral and host genes) that exhibit increased promoter methylation in women having CIN2+ lesions as compared to women having no intraepithelial lesions or malignancy (NILM).

Abstract: Techniques are described for using artificial intelligence (i.e., machine learning) to identify a system problem. Multiple machine learning stages, or models, are used to better categorize inputs and more quickly derive a reliable solution. Each subsequent model identifies a more specific category than a previous model, i.e., each successive model operates on a more granular level. The described techniques include staged machine learning models and user interface elements that are used to train a system and support an application development process. These techniques can be used to more easily create logic that is directed to solving a problem in a particular system.

Abstract: Methods for analyzing the bacterial microbiome of a subject and triaging the subject into treatment for head and neck squamous cell cancer from a saliva or tissue sample are provided. The methods also provide means for differentiation of different cancer patient cohorts from the bacterial microbiome of a subject.

Abstract: Methods for the quantifying HPV Trans Renal DNA (TrDNA) from a urine sample from a subject using a dual sequence-capture approach are disclosed. The presently disclosed methods can be used to predict cancers including, but not limited to, cervical, anal, penile, and oropharyngeal cancers.

Abstract: A method and system of creating an alert for a monitored network system. Key performance indicators (KPI's) of a plurality of components of a monitored network system are displayed on a user interface. A selection of one or more components of the plurality of components related to a malfunction is received. A present status and/or a pattern of performance of the one or more selected components is extracted. A preliminary alert is created based on the at least one of (i) the present status and (ii) the pattern of performance of the one or more selected components. Historical data related to the one or more selected components is retrieved. The preliminary alert is trained based on at least some of the retrieved historical scenarios. The preliminary alert is promoted to a primary alert upon training the preliminary to a confidence level that is above a predetermined threshold.

Abstract: Integrated application development and deployment may speed up application development. The continuous integration component of a software development engine may generate a completed version of a deployment project in a development environment by at least generating an updated version of a first project element concurrently with integrating an initial version of the first project element with an initial version of a second project element. The updated version of the first project element is then integrated with the initial version of the second project element to generate the completed version. An orchestration component may configure a production environment to execute a production image that is a copy of a development image that is created from the completed version, in which the production environment is mirrored by the development environment. The continuous integration tool may also include an automatic deployment component that deploys the production image into the production environment for execution.

Abstract: The present invention relates to the field of cancer. More specifically, the present invention provides methods and compositions useful in the diagnosis and treatment of head and neck squamous cell carcinoma. As described herein, and particularly in reference to the figures, the present inventors have discovered that OTUs and several microbial communities at different taxonomic levels discriminates HNSCC from normal control samples, HPV+ and HPV? samples and pre- vs. post-surgical treatment samples. Appropriate diagnostic and treatment strategies can be employed based on the identification of the microbiota in patients' saliva.

Abstract: In accordance with one or more embodiments, the inventors have conducted the first comprehensive integrated genomic and epigenomic analysis in HNSCC, focusing on identifying genes that have concurrent promoter methylation, mutation and expression downregulation. The intersection of unbiased genome-wide methylation sequencing and methylation array screens uncovered 316 genes, which undergo promoter methylation in HNSCC. Close to 60% concordance was found between concurrent greater promoter methylation and gene downregulation, with PAX1 and PAX5 exhibiting the greatest expression loss. Methods for analyzing tissue samples from a subject for increased risk of poor survival outcomes from HNSCC are provided. Kits for measuring promoter methylation of the genes are also provided.

Abstract: A performance management engine may be implemented to continuously detecting entity performance issues. The performance management engine may calculate one or more key performance indicators (KPIs) that measure performance of an entity. The performance management engine may further receive one or more additional sources of data regarding the entity via a data management platform that interfaces with multiple data sources. The performance management engine may aggregate the KPIs and the one or more additional sources of data into datasets according to one or more grouping parameters. The data in one or more datasets may be analyzed by the performance management engine to generate one or more comprehensive performance indicators. The comprehensive performance indicators are then provided for display on a user device. Each KPI or comprehensive performance indicator measures performance of a device, a component, a node, or a service of the entity.

Abstract: Methods for the quantifying HPV Trans Renal DNA (TrDNA) from a urine sample from a subject using a dual sequence-capture approach are disclosed. The presently disclosed methods can be used to predict cancers including, but not limited to, cervical, anal, penile, and oropharyngeal cancers.

Abstract: The present invention provides methods of determination of a global DNA methylation index (GDMI) in a sample from a subject, using a variety of methods which can detect global, genome-wide, and gene-specific DNA methylation to create methylation portraits that can be used for early detection, diagnosis, and clinical management in the personalized medicine space. Further, the invention provides methods of diagnosis of cancer, including gastric cancer and hepatocellular cancer in a subject, by comparing the GDMI in a sample obtained from a subject to the methylation index of standard controls. These methods allow diagnosis of gastric carcinoma and liver cancer in patients who may be asymptomatic or have inconclusive pathology, and allowing earlier treatment of the subject.