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    GxP artificial intelligence / machine learning (AI/ML) platform
    11.
    发明授权
    GxP artificial intelligence / machine learning (AI/ML) platform 有权

    公开(公告)号：US12271793B2

    公开(公告)日：2025-04-08

    申请号：US17864688

    申请日：2022-07-14

    Applicant: IQVIA Inc.

    Inventor： Gary Shorter ,  Malcolm Postings ,  Kevin T. Saylor

    IPC: G06N20/00 ,  G06F8/60 ,  G06F30/27 ,  G06N3/08 ,  G06Q30/018 ,  H04L9/00

    Abstract: A GxP (good practice) platform is implemented to enable artificial intelligence (AI) algorithms to be tracked from creation through training and into production. Deployed algorithms are assigned a GxP chain ID that enables identification of production details associated with respective algorithms. Trained algorithms, each of which are respectively associated with a GxP chain ID, are containerized and can be utilized through an application programing interface (API) to provide a service. The GxP chain ID is linked to production details stored within a database, in which the production details can include information such as data used to train the algorithm, a history version, a date/time stamp when the algorithm was validated, software and hardware on which the algorithm was developed and trained, among other details. Changes to the algorithm can be tracked using an immutable ledger facilitated by the implementation of blockchain.

    Machine reasoning as a service
    12.
    发明授权
    Machine reasoning as a service 有权

    公开(公告)号：US11908587B2

    公开(公告)日：2024-02-20

    申请号：US18180209

    申请日：2023-03-08

    Applicant: IQVIA Inc.

    Inventor： Scott Josephson ,  Gary Shorter

    IPC: G06F16/901 ,  G06F16/903 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04 ,  G16H50/70

    CPC classification number: G16H50/70 ,  G06F16/9024 ,  G06F16/90344 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

    MACHINE REASONING AS A SERVICE
    14.
    发明申请
    MACHINE REASONING AS A SERVICE 有权

    公开(公告)号：US20230017672A1

    公开(公告)日：2023-01-19

    申请号：US17374650

    申请日：2021-07-13

    Applicant: IQVIA Inc.

    Inventor： Scott Josephson ,  Gary Shorter

    IPC: G16H50/70 ,  G06F16/901 ,  G06F16/903 ,  G06N5/02 ,  G06N5/04 ,  G06F40/30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

    Automated classification and interpretation of life science documents
    15.
    发明授权
    Automated classification and interpretation of life science documents 有权

    公开(公告)号：US11373423B2

    公开(公告)日：2022-06-28

    申请号：US17070533

    申请日：2020-10-14

    Applicant: IQVIA Inc.

    Inventor： Gary Shorter ,  Barry Ahrens

    IPC: G06V30/413 ,  G06F40/279 ,  G06F40/30 ,  G06V30/414

    Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools.

    AUTOMATED CLASSIFICATION AND INTERPRETATION OF LIFE SCIENCE DOCUMENTS
    16.
    发明申请
    AUTOMATED CLASSIFICATION AND INTERPRETATION OF LIFE SCIENCE DOCUMENTS 审中-公开

    公开(公告)号：US20200279108A1

    公开(公告)日：2020-09-03

    申请号：US16289729

    申请日：2019-03-01

    Applicant: IQVIA Inc.

    Inventor： Gary Shorter ,  Barry Ahrens

    IPC: G06K9/00 ,  G06F17/27

    Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools.

    Digital label management
    17.
    发明授权
    Digital label management 有权

    公开(公告)号：US12271435B2

    公开(公告)日：2025-04-08

    申请号：US18189393

    申请日：2023-03-24

    Applicant: IQVIA Inc.

    Inventor： Gary Shorter ,  Jaffershah Jahangeer

    IPC: G06F16/955 ,  G06K7/14 ,  G06K19/06 ,  G16H20/00

    Abstract: Embodiments of the present disclosure provide a method for monitoring/tracking the lifecycle of a drug from build (e.g., as part of clinical trial development), to approval (e.g., regulatory), to in-market (e.g., distribution and safety information). The use of artificial intelligence (AI) and blockchain technology may enable the system to track the drug down to the prescription level and may support a digital label that can be updated as necessary based on such monitoring (e.g., that can be amended based on safety information detected while the drug is in market and warnings sent out upon amendment).

    Machine reasoning as a service
    18.
    发明授权
    Machine reasoning as a service 有权

    公开(公告)号：US12230405B1

    公开(公告)日：2025-02-18

    申请号：US18443857

    申请日：2024-02-16

    Applicant: IQVIA Inc.

    Inventor： Scott Josephson ,  Gary Shorter

    IPC: G06F16/901 ,  G06F16/903 ,  G06F40/30 ,  G06N5/02 ,  G06N5/04 ,  G16H50/70

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for responding to a query. In some implementations, a computer obtains a query. The computer determines a meaning for each term in the query. The computer determines user data for the user that submitted the query. The computer identifies one or more ontologies based on the meanings for at least some of the terms. The computer identifies a knowledge graph based on the identified ontologies and the user data. The computer generates a response to the query by traversing a path of the identified knowledge graph to identify items in the knowledge graph based on the determined meaning for each of the terms. The computer generates path data that represents the path taken by the computer through the identified knowledge graph. The computer provides the generated response and the path data to the client device.

    AUTOMATED TRANSLATION OF SUBJECT MATTER SPECIFIC DOCUMENTS
    19.
    发明公开
    AUTOMATED TRANSLATION OF SUBJECT MATTER SPECIFIC DOCUMENTS 审中-公开

    公开(公告)号：US20230394242A1

    公开(公告)日：2023-12-07

    申请号：US18236111

    申请日：2023-08-21

    Applicant: IQVIA Inc.

    Inventor： Gary Shorter ,  Naouel Baili Ben Abdallah ,  Barry Ahrens

    IPC: G06F40/30 ,  G16H10/20 ,  G06N3/04 ,  G06N3/08 ,  G06F40/253 ,  G06F40/284 ,  G06F40/295

    CPC classification number: G06F40/30 ,  G16H10/20 ,  G06N3/04 ,  G06N3/08 ,  G06F40/253 ,  G06F40/284 ,  G06F40/295

    Abstract: Documents in source natural languages are translated into target natural languages using a computer-implemented translation that is configured to operate within the domain of the subject matter of the documents that imposes specialized requirements for translation and readability. Subject matter specific documents typically include domain-specific terminology, are subject to various regulatory guidelines, and have different readability requirements depending on the intended reader. The computer-implemented translation applies machine-learning techniques that deconstruct elements of the subject matter specific document into a standard data structure and perform pre-processing steps to tokenize digitized document text to identify the correct sentence structure and syntax for the target natural language to optimize translation by, e.g., a neural machine translation engine. The text segments that are input into the neural machine translation engine are generated to be semantically meaningful in the target natural language to thereby enhance the understanding of the neural machine translation engine.

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