System, method and interface for parallel processing of antimicrobial susceptibility tests using different samples

    公开(公告)号:US12129510B2

    公开(公告)日:2024-10-29

    申请号:US18524578

    申请日:2023-11-30

    CPC classification number: C12Q1/20 C12Q3/00 G16H10/40 G16H20/10

    Abstract: An improved system, method and interface for automated rapid antimicrobial susceptibility testing (AST) is disclosed which includes, in one aspect, a carrier population station comprising a workstation having a graphic user interface (GUI). The GUI accepts information from a lab technologist, including information related to a scope of testing to be performed on a patient sample. The GUI controls intelligent assignment of patient samples to test panels in a manner that maximize utilization of the test carrier by grouping together samples of similar tests scopes and advantageously testing those samples using one multiplexed test panel. Customizing workflow in accordance with test scope to facilitate parallel processing of multiple samples advantageously reduces laboratory waste, decreases test latencies, increases AST system throughput and efficiency, and thus lowers the costs to the AST lab.

    Eye-mountable therapeutic devices, and associated systems and methods

    公开(公告)号:US12127976B2

    公开(公告)日:2024-10-29

    申请号:US18196259

    申请日:2023-05-11

    Abstract: Systems, eye-mountable devices, and methods that facilitate chronotherapeutic treatment of primary open-angle glaucoma are provided which enable therapeutic products to be delivered to the eye in a controlled manner only when desired. According to one embodiment, an eye-mountable device comprises a substrate having an eye-mounting surface for positioning on an eye of a patient, a sensor that obtains a plurality of measurements representative of a condition of the eye of the patient over a period of time, a therapeutic agent delivery assembly coupled, and a processor for executing a temporal model of a therapeutic agent delivery in communication with the sensor and the therapeutic agent delivery assembly. The processor receives the plurality of measurements and activates the therapeutic agent delivery assembly to administer a first amount of a drug to the eye of the patient based on the temporal model associated with the plurality of measurements.

    MEDICATION THERAPY MANAGEMENT SYSTEM AND METHODS

    公开(公告)号:US20240355445A1

    公开(公告)日:2024-10-24

    申请号:US18634608

    申请日:2024-04-12

    CPC classification number: G16H20/10 G16H10/20 G16H10/60 G16H15/00 G16H50/20

    Abstract: The invention relates generally to medication therapy and more particularly to a system and methods for medication therapy management to support improved adherence and alert clinicians of changes in behavior or symptoms. The system may facilitate interactions between various data sources (e.g., medical health records, genomics databases, and other connected third-party devices) to manage workflow, execute rules, interface with knowledge bases, codify information, schedule events, provide notification, and more. In addition, the system may include a conversational or actionable artificial intelligence persona tailored to each user and configured to, for example, converse, instruct, and/or coach a user according to one or more features of the system. Advantageously, the system may improve adherence and facilitate patient engagement, care transition, and disease management, resulting in, for example, reduced healthcare costs for providers and payers, and enhanced drug use for pharmaceutical manufacturers, pharmacies, and specialty pharmacies.

    MODEL FOR DETERMINING IHC POSITIVITY
    4.
    发明公开

    公开(公告)号:US20240355444A1

    公开(公告)日:2024-10-24

    申请号:US18623576

    申请日:2024-04-01

    Inventor: Eric Cosatto

    Abstract: Methods and systems for diagnosing and treating cancer include performing color deconvolution on an input image, stained according to a second staining process, to generate channels that correspond to dyes used in a first staining process and dyes using in the second staining process. Channels that correlate with a channel used to train a machine learning model are combined to produce a single combined channel. The combined channel is processed using the machine learning model to identify tumor cells. A positivity index is determined based on an output of the machine learning model to aid in medical decision making. A patient's treatment is automatically adjusted based on an output of the machine learning model.

    MEDICATION RISK MITIGATION SYSTEM AND METHOD

    公开(公告)号:US20240347204A1

    公开(公告)日:2024-10-17

    申请号:US18398406

    申请日:2023-12-28

    CPC classification number: G16H50/30 G16H20/10 G16H40/67 G16H10/60

    Abstract: A medication risk mitigation method utilizing three interventions: a prospective intervention performed by a prescriber, a concurrent intervention performed by a pharmacist and a retroactive intervention performed by a pharmacist. At each intervention, the system of the instant invention utilizes a computer program to compare each prescribed medication to a series of intrinsic and extrinsic data sources in order to identify potential contraindications and, if necessary, modify a prescription. The system also permits secure messaging between prescribers and pharmacists, each with access to the computer program, so as to facilitate communication and reduce medication risks. The system of this invention also permits modeling for hypothetical medication modifications based on the same intrinsic and extrinsic data sources.

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