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The patent application by inventor Nathan Intrator focuses on systems and methods for interpreting brain activity using electrical signal data representative of brain activity. The method involves processing the data based on pre-determined predictors associated with unique brain states, generating personalized mental state or neurological condition indications, and utilizing wavelet packet atoms for analysis. The invention aims to provide real-time insights into brain activity, potentially aiding in identifying mental states, neurological conditions, and evaluating the effectiveness of therapies. [Extracted from the article]

The article discusses the importance of well-organized systems for public health actions, focusing on the need for structured genomic data in databases like the International Nucleotide Sequence Database Collaboration (INSDC). The authors propose the Pathogen Data Object Model (DOM) to standardize pathogen data submissions for public health use, emphasizing the inclusion of contextual metadata. They suggest that using the Pathogen DOM for all pathogen submissions will streamline data submissions and facilitate downstream data analyses. Improved submission tools are also recommended to support the implementation of the Pathogen DOM. [Extracted from the article]

Unitedhealth Group Incorporated has been issued a patent for a method, apparatus, and computer program product for graph-based encoding of natural language data objects. The patent describes a system that uses natural language processing and machine learning to retrieve and analyze natural language data objects from a database. The system then generates a graph-based data object that encodes the relationships between entities in the data objects, and performs prediction-based actions based on this graph-based data object. The system has potential applications in various technical fields, including health and medicine. [Extracted from the article]

A patent has been issued to Bola Technologies Inc. for systems and methods for voice assistants for electronic health records. The patent describes a system that uses machine learning models to process audio data and generate speech data, which is then used to update electronic records. The system can be applied to various types of electronic records, including electronic health records, electronic medical records, electronic dental records, practice management system records, and treatment plan records. The patent also includes methods for using voice commands to update electronic dental records. [Extracted from the article]

A patent application titled "Systems And Methods For Analyzing Brain Activity And Applications Thereof" has been published by the US Patent and Trademark Office. The invention aims to improve the resolution of electroencephalography (EEG) by continuously recording brain activity and projecting it onto wavelet packet atoms. The system also monitors physiological and environmental factors, uses machine learning to determine personalized mental states, and provides feedback through visual or audible signals. This invention has potential applications in healthcare and neuroscience research. [Extracted from the article]

PepsiCo Inc. has been issued a patent for a system and method to analyze product labels. The system includes a label processing engine that receives raw data and baseline data, detects and classifies objects within the data, recognizes corresponding text, compares the text, and issues notifications if there are discrepancies. The system aims to streamline the review process of product labels, which can be time-consuming and prone to human error. This technology could be beneficial for food and beverage companies in ensuring the accuracy of their product labels. [Extracted from the article]

The article highlights the patent application number 12062431 for a method of cross-validating data from images captured during diagnostic sessions, filed by Rohan Ganeshananthan and Brian Levinstein on August 24, 2021. It also discusses the use of machine learning models for image characterization, methods for determining subject identity consistency, and the application of these techniques to improve diagnostic accuracy.

This article discusses a patent issued to Agfa Healthcare NV for systems and methods for managing large medical image data. The patent addresses the need for effective systems to manage and organize electronic medical records, particularly as the size of these records increases. The patent proposes a system that includes a Picture Archiving and Communication System (PACS) to store and manage medical image data items, with a focus on integrating data from different imagers. The patent aims to improve the management and accessibility of medical image data items to enhance clinical efficiency and facilitate integrated workflows. [Extracted from the article]

A patent application titled "Adaptive Predictions Based on Continuous Sensor Measurements" has been submitted by inventors David Cook and An-Ting JHUANG. The application addresses challenges in predictive modeling for complex prediction domains, such as diabetes diagnostics, by providing personalized and precise interventions based on real-time information. The application describes various embodiments of predictive modeling techniques that generate tailored predictive insights from continuous sensor measurements, replacing trial and error protocols with personalized action outputs. The patent application includes computer-implemented methods and computing apparatuses for implementing these techniques. For more information, refer to the patent application number 20240215926 filed on April 14, 2023, and posted on July 4, 2024. [Extracted from the article]

UnitedHealth Group Incorporated has been issued a patent for predictive monitoring of the glucose-insulin endocrine metabolic regulatory system. The patent describes innovative techniques for performing glucose-insulin predictive data analysis using methods, apparatus, systems, computing devices, and computer program products. The patent also discusses the use of machine learning models and data analytics to generate glucose-insulin predictions and perform prediction-based actions. This patent provides valuable insights into emerging technologies in the field of health and medicine. [Extracted from the article]

A patent application has been submitted for a system architecture that aims to improve the organization of data by linking and relating data objects. The current software architectures have limitations, such as disorganized or unclear data. The proposed system can automatically detect relationships between data objects and link them together, and users can also manually select the connections. This system has potential applications in scientific research and collaborative decision-making. The patent application provides additional information and alternative ways to implement the system architecture. [Extracted from the article]

The researchers have submitted a patent application for a digital life and/or health claims processing system that integrates multiple claim channels. The system aims to simplify the claims handling process, improve data accessibility and quality, and increase efficiency in claim processing. It utilizes a cloud-based infrastructure platform with modules for storage, data modeling, claims processing, and communication. The system allows for the automatic integration of multiple claims channels and processing of claims based on customer-centric principles, providing a satisfying customer journey and agile claims processing. The patent application provides detailed technical specifications and features of the system. [Extracted from the article]

A patent has been issued for systems and methods for data-driven process improvement. The patent describes a framework that allows for the development of pipelines for data-driven processes, particularly for machine condition monitoring and maintenance in construction and civil engineering projects. The apparatus includes a series of data processing modules and a data access layer, which integrates the diagnostic portion of the data processing pipeline with downstream improvement systems. The invention aims to address the limitations of custom-built or inflexible pipelines by providing a unified data format and facilitating the integration of various processing modules. [Extracted from the article]

Google LLC has been issued a patent for computerized methods and apparatus for data cloning. The patent describes a system for creating a live copy of a data object from a production system for use by third-party applications. The system involves creating a live backup copy of the production data, creating a flash copy of the live backup copy, modifying the live backup copy, recording the changes using a flash copy bitmap, mounting the modified live backup copy to the application, and transforming it back to the live backup copy when unmounting it from the application. This technology aims to simplify and streamline data management processes. [Extracted from the article]

A patent application has been submitted for a method and apparatus that aims to address the challenges of identifying harmful drug combinations. The invention involves generating multidimensional patient-drug tensors, prediction data objects, and contraindication data objects based on patient record data and drug input vectors. These data objects are used to determine drug combination indicators and predict multi-drug contraindications. The invention utilizes machine learning models and neural networks to make these predictions. The patent application was filed in November 2022. [Extracted from the article]

A patent has been issued for a medical records access system developed by Evernorth Strategic Development Inc. The system utilizes cloud computing and a content delivery network (CDN) to provide secure access to large medical files that exceed the file size transfer limit imposed by cloud computing systems. The system allows a secure healthcare entity to transfer medical records to a temporary storage location and transmit them to a client device, enhancing security and improving the quality of service for end users. The patent provides detailed methods and systems for implementing this medical records access system. [Extracted from the article]

The patent application titled "Multi-Modal, Modular Data Security And Monetization System And Method" describes a highly secure data storage platform that utilizes distributed ledgers or blockchains. The system randomly stores critical data in different cells of the ledger or blockchain, while storing nonsensical data in other cells to enhance security. It also includes automatic information search operations and offers a monetization platform for selling or distributing enhanced or raw data. The patent application provides detailed claims and methods for securing and retrieving critical data. For more information, please refer to the full patent application. [Extracted from the article]

A patent has been issued to Kyndryl Inc. for a method, computer system, and computer program product that allows for the creation of a standby database with read/write access capability while maintaining data consistency with a primary database. The invention involves syncing the primary database with a physical standby mirror on the standby database, creating separate data compartments on the standby database, and applying changes made to the primary database to the corresponding data objects on the physical standby mirror and the data compartments. The data merge rules associated with each data compartment determine which objects, tablespaces, and schemas should be synchronized with the physical standby mirror. This technology has applications in various fields, including business, computers, and health and medicine. [Extracted from the article]

A patent has been issued to IQVIA Inc. for methods and systems for predictive clinical planning and design. The patent describes a computer-implemented method that involves defining graphical connections between nodes representing data objects, presenting a graphical representation of a clinical trial, determining if certain data items meet a threshold, propagating data items through the graphical connections, modifying data items, defining actions to be executed on propagated data items, and updating the context map based on changes in data items. The invention aims to improve the efficiency and effectiveness of clinical trial design by streamlining the gathering and analysis of information. [Extracted from the article]

Genentech Inc. has submitted a patent application for a computer-implemented method that converts unstructured clinical trial health data into a standardized format. The method involves processing the data to identify template-mapped content and high-interest content, generating a dictionary data structure for each, and creating a structured document based on the dictionary data structure. The method also includes extracting tags, removing redundancies, and analyzing table elements. The structured document can be used for communication, data querying, or generating new documents. The patent application was filed by inventors from Genentech Inc. [Extracted from the article]

A patent has been issued for a computer-implemented method that optimizes data flow and display in electronic medical record (EMR) systems. The patent addresses the limitations of current EMR systems and aims to improve a physician's workflow by optimizing the flow and display of EMR and related data. The article also emphasizes the importance of cybersecurity in hospitals and the need for investment in measures to protect patient data in electronic medical records. Healthcare Value Analytics LLC is mentioned as a provider of information technology solutions for this purpose. [Extracted from the article]

A patent has been issued for a method and system for asynchronous medical patient data communication and management. The patent, filed by Authentic Inc., describes a system that allows healthcare entities to securely share patient data with other entities. The system involves the installation and authentication of software on client devices, creating a secure connection between the client device and a remote computing device. The system also includes data encryption and decryption, as well as the generation of unique client-side and server-side queues for data transfer. The patent aims to address the challenges faced by healthcare institutions in managing and sharing large amounts of sensitive user data. [Extracted from the article]

This article discusses new findings from the U.S. Food and Drug Administration (FDA) regarding advances in data objects and their application in public health. The researchers propose a common pathogen data structure called the Pathogen Data Object Model (DOM) to organize and coordinate international databases of pathogen genomic data. This model aims to provide a consistent and transparent data structure for downstream data analyses. The researchers also highlight the importance of improved submission tools to support the implementation of the Pathogen DOM. [Extracted from the article]

A preprint abstract discusses the need for well-organized and coordinated systems to supply timely and accurate knowledge for public health actions. The International Nucleotide Sequence Database Collaboration (INSDC) is a public database of pathogen genomic data that has become an essential tool for public health decisions. However, the database was primarily designed for academic purposes and needs to be consistently organized and coordinated internationally to allow effective searches. To address this, the authors propose a common pathogen data structure called the Pathogen Data Object Model (DOM) that will formalize the necessary sequence and contextual data for public health uses. Improved submission tools are also suggested to support the Pathogen DOM. This preprint has not been peer-reviewed. [Extracted from the article]

The US Patent and Trademark Office has published a patent application titled "Plug-And-Analyze Framework For Knowledge Base Construction." The application, filed by inventors from Bristol-Myers Squibb Company, describes a method for generating a knowledge base using machine learning models. The method involves extracting data from files using one set of models, generating a second set of data objects using another set of models, and tracking the completion status of each model. The knowledge base is then generated using the data objects. The application also includes various embodiments and features of the method. [Extracted from the article]

In interpreting the first structured data object, the payroll processor identifies an employee-specified pay schedule according to an employee context interpreted from the first structured data object. In interpreting the first structured data object, the computer system identifies an employee-specified pay schedule according to an employee context interpreted from the first structured data object. The computer-implemented method of claim 22, wherein identifying the second structured data object further includes: identifying, by the computer system, information according to an employee context indicated by the first structured data object. [Extracted from the article]

Keywords: Business; Cloning; Cloudera Inc.; Data Nodes; Data Objects; Health and Medicine; Information Technology; Software EN Business Cloning Cloudera Inc. Data Nodes Data Objects Health and Medicine Information Technology Software 8672 8672 1 10/16/23 20231020 NES 231020 2023 OCT 20 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Cloudera Inc. (Santa Clara, California, United States) has been issued patent number 11768739, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The method of claim 1, wherein the snapshot of the data object contains names for the partitions of the data object and reference information for locating the partitions of the data object in the platform. Business, Cloning, Cloudera Inc., Data Nodes, Data Objects, Health and Medicine, Information Technology, Software. [Extracted from the article]

The apparatus of claim 6, wherein the enzyme function prediction circuitry is further configured to: generate a third predicted characteristic of the enzyme by applying the first encoded sequence and the second encoded sequence to a third level of the model system comprising a plurality of levels; and generate a fourth predicted characteristic of the enzyme by applying the first encoded sequence and the second encoded sequence to a fourth level of the model system comprising a plurality of levels. Enzyme function annotation has a broad range of applications in fields such as metagenomics, industrial biotechnology, and in the diagnosis of diseases caused by enzyme deficiencies. The system of claim 11, wherein the first predicted characteristic is the first digit of an Enzyme Commission number associated with the enzyme and the second predicted characteristic is the second digit of the Enzyme Commission number associated with the enzyme. [Extracted from the article]

"In one example, the computer implemented method for generating a clinical pathway further includes submitting the data object to a review process, wherein the review process includes one or more reviewing authorities one of approving the data object for publication or suggesting revisions to the data object, wherein the data object is not published until the one or more reviewing authorities have approved. Cancer, Computers, Health and Medicine, Information Technology, Oncology, Patent Application, Data Objects "In one example, the computer implemented method for generating a clinical pathway further includes receiving a discipline identification, and updating the data object to include the discipline identification. [Extracted from the article]

The apparatus is further caused to generate, based at least in part on the microvascular data object and the one or more impact predictions, an outcome risk score data object for the user. The computer-readable program code portions are configured to generate, by the one or more processors and based at least in part on the microvascular data object and the one or more impact predictions, an outcome risk score data object for the user. The method comprises generating, by the one or more processors and based at least in part on the microvascular data object and the one or more impact predictions, an outcome risk score data object for the user. [Extracted from the article]

The ratio test may be conducted concurrently with monitoring of electronic transaction activity which may also involve the extraction and indexing of relevant information from the incoming transaction strings associated with various recurring transaction requests. The method of claim 9, wherein a unique VN is generated for one or more recurring transaction requests, not associated with a VN transaction string, and used as a unique identifier for indexing and controlling the one or more recurring transaction requests not associated with a VN transaction string. The method of claim 1, wherein the unique transaction identifier associated with the second data object and generated for indexing a recurrent transaction request, corresponds to a virtual credit card number (VN) associated with the recurring transaction request. [Extracted from the article]

Keywords: Cybersecurity; Data Communications; Data Objects; Hospitals; Information Technology; Patent Application; Software EN Cybersecurity Data Communications Data Objects Hospitals Information Technology Patent Application Software 572 572 1 06/05/23 20230609 NES 230609 2023 JUN 10 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Imaging Week -- A patent application by the inventors Best, Alan (Big Bend, WI, US); Howerter, Josh (Phoenix, AZ, US); Rahme, Kamil (Scottsdale, AZ, US); Santoso, Jeffrey (Dural, AU), filed on September 9, 2022, was made available online on May 18, 2023, according to news reporting originating from Washington, D.C., by NewsRx correspondents. The method of claim 1, wherein the client-side gateway further includes a client-side queue that is associated with the unique identification value configured to temporarily store requests from the client. The system of claim 8, wherein the client-side gateway further includes a client-side queue that is associated with the unique identification value configured to temporarily store requests from the client. [Extracted from the article]

The computer program code further comprises sets of instructions to determine that the second sound recording data object was made by the first type of entity by applying the second sound recording data object to the machine learning classification model. The database includes a plurality of sound recording data objects where each of the plurality of sound recording data objects is associated with one or more of a plurality of sound type indicators. The computer program code further comprises sets of instructions to determine that the second sound recording data object was made by the first type of entity by applying the second sound recording data object to the machine learning classification model. The computer system of claim 3, wherein the computer program code further comprises sets of instructions executable by the one or more processors to: preprocess the second sound recording data object before the applying the second sound recording data object to the machine learning classification model. [Extracted from the article]

In some embodiments, the data prediction machine learning model is an unsupervised machine learning model. "In some embodiments, the data prediction request is associated with a preauthorization request and comprises a procedure identifier, a patient entity identifier, a healthcare provider entity identifier, and a health insurance provider entity identifier. The apparatus of claim 10, wherein the data prediction request is associated with a preauthorization request and comprises a procedure identifier, a patient entity identifier, and a healthcare provider entity identifier. [Extracted from the article]

Certain embodiments of the present invention utilize systems, methods, and computer program products that perform generating a historically dynamic explanation data object for a dental image data object using an encoder-decoder architecture, where the encoder machine learning framework of the encoder-decoder architecture comprises a current diagnosis identification machine learning model, a historical diagnosis identification machine learning model, a convolutional embedding machine learning model, a new diagnosis code inference machine learning model, and a feature vector combination machine learning model. The computer-implemented method of claim 1, wherein the encoder machine learning framework comprises the current diagnosis identification machine learning model, the historical diagnosis identification machine learning model, a convolutional embedding machine learning model, a new diagnosis code inference machine learning model, and a feature vector combination machine learning model. [Extracted from the article]

The data may be associated with various data objects (e.g., discrete results of an experiment), and the data objects may include various properties associated with each object. Attributes may include, for example, a geographic location associated with the object, a value associated with the object, a probability associated with the object, an event associated with the object, and so forth. The method of claim 1, wherein the visualization data includes visual objects representing each of the selected data sets and a matching items object representing the matching test items. The data may be associated with various data objects, and the data objects may include various properties associated with the object. [Extracted from the article]

In certain embodiments, the analytic platform comprises one or more memory storage areas and one or more processors configured to: receive a record data file; compress the record data file to generate a common data input object comprising a plurality of data elements, wherein each of the plurality of data elements represents one or more attributes of the record data file; pass the common data input object as input to a plurality of analytics executing independently and in parallel, and wherein: each of the plurality of analytics retrieves at least one compressed parameter file for use in processing data elements of the common data input object; and each of the plurality of analytics is configured to generate respective outputs based at least in part on one or more of the plurality of data elements of the common data input object; and combine the respective outputs from each of the plurality of analytics into a common output object. The method for processing a claim record of claim 10, wherein the plurality of program analytics comprises a fraud, waste, abuse, and error (FWAE) scoring analytic, and wherein the FWAE scoring analytic is configured to: parse the common data input object to identify one or more contexts relating to an underlying claim record; retrieve at least one compressed parameter file relating to each of the identified one or more contexts; and generate an output comprising a score value for the common data input object. Certain of those program analytics may be configured for identifying abnormal data within the common data input object, and the abnormality criteria may be defined within those program analytics based at least in part on compressed historical data defining data norms. [Extracted from the article]

Finally, various embodiments are configured for generating consolidated composite user interfaces for record data objects, such that a single user interface for a record data object comprises data having differing ownership attributions, and for ensuring that data that is not authorized for viewing by a requesting user is hidden and/or otherwise inaccessible to the viewer. To maintain appropriate levels of privacy over the data, the data management systems attribute ownership data to individual pieces of data stored within the data storage repositories, such that appropriate data owners may have management access to the data. [Extracted from the article]