Modeling of systemic inflammatory response to infection
    1.
    发明申请
    Modeling of systemic inflammatory response to infection 审中-公开
    全身炎症反应对感染的建模

    公开(公告)号:US20070083333A1

    公开(公告)日:2007-04-12

    申请号:US10579458

    申请日:2004-11-17

    IPC分类号: G06F19/00

    摘要: Models for the systemic inflammatory response to infection, which involve the use of immunocompromised animals, and methods of using the models are described. These models can be used in identifying analytes or biomarker panels that can be used in staging or monitoring sepsis. The models can also be used for predicting an animal's disease outcome or in providing a prognosis for sepsis patients. Further, the invention relates to methods for evaluating potential treatments for sepsis.

    摘要翻译: 描述了涉及使用免疫受损动物的感染的全身炎症反应的模型以及使用模型的方法。 这些模型可用于鉴定可用于分期或监测败血症的分析物或生物标志物组。 这些模型还可用于预测动物疾病的结局或为败血症患者提供预后。 此外,本发明涉及评估败血症潜在治疗方法。

    Oral treatment for anorectal conditions
    2.
    发明申请
    Oral treatment for anorectal conditions 审中-公开
    口腔治疗肛门直肠病

    公开(公告)号:US20050053682A1

    公开(公告)日:2005-03-10

    申请号:US10658194

    申请日:2003-09-10

    CPC分类号: A61K36/75

    摘要: Methods and uses pertaining to the oral treatment of anorectal conditions in a man or woman in need of such treatment are described, which comprises treatment with an orally effective amount of an extract of Cortex Dictamni in unit dosage form in association with one or more carriers or excipients.

    摘要翻译: 描述了与需要这种治疗的男性或女性口腔治疗肛门直肠病症有关的方法和用途,其包括以口服有效量的单位剂量形式的皮质硬脑膜炎提取物与一种或多种载体或 赋形剂。

    AI-BASED MODEL USE FOR NETWORK ENERGY SAVINGS

    公开(公告)号:US20230138190A1

    公开(公告)日:2023-05-04

    申请号:US18091673

    申请日:2022-12-30

    IPC分类号: H04W52/02 H04W36/24

    摘要: An apparatus and system of providing energy saving in a network are described. A target node receives, from a source node, a handover request to handover a UE due to at least one of entry of the source node into a power saving state or mobility optimization. In response, the target node transmits a relative energy efficiency value of Bits per Joule and periodic feedback related to a status of the UE for training an AI/ML energy saving model and stops the feedback in response to a stop parameter being met. The stop parameter is a first of: a predicted period of the source node to stay in the power saving state or time for a UE to connect to the target node, a percentage of UEs handed over that enter an idle or inactive state, and a percentage of UEs handed over that are further handed to another node.

    ULTRASOUND SYSTEM, APPARATUS, AND METHOD FOR TRANSCRANIAL TREATMENT

    公开(公告)号:US20230015807A1

    公开(公告)日:2023-01-19

    申请号:US17859542

    申请日:2022-07-07

    申请人: Yi Zhang

    发明人: Yi Zhang

    IPC分类号: A61N7/02

    摘要: The present disclosure relates to transcranial ultrasound systems, devices, and methods which are used for treatment rather than for imaging or medical diagnosis. In accordance with one aspect, a system for applying ultrasound energy includes at least three ultrasound applicators configured to be secured against a head of a person and configured to apply ultrasound energy to the head of the person when activated, and a controller configured to control activation and deactivation of the at least three ultrasound applicators based on a predetermined treatment sequence.

    Heart failure detection with a sequential classifier

    公开(公告)号:US10893824B2

    公开(公告)日:2021-01-19

    申请号:US13306343

    申请日:2011-11-29

    申请人: Qi An Yi Zhang

    发明人: Qi An Yi Zhang

    摘要: A system and method for automatically analyzing heart failure in a patient, including collecting physiological data from a patient using at least a first sensor and a second sensor to collect two or more sensor measurements, and calculating a first composite value based on at least a first sensor measurement wherein the first composite value is an indication of a likelihood that the patient's heart failure status has changed. If the first composite value is outside of a first specified range, then a second composite value is calculated based on at least a second sensor measurement, wherein the second composite value is an indication of a likelihood that the patient's heart failure status has changed. If the second composite value is outside of a second specified range, then an alert of change in heart failure status is generated.