CANCER THERAPY BY DOCETAXEL AND GRANULOCYTE COLONY-STIMULATING FACTOR (G-CSF)
    1.
    发明申请
    CANCER THERAPY BY DOCETAXEL AND GRANULOCYTE COLONY-STIMULATING FACTOR (G-CSF) 审中-公开
    DOCETAXEL和GRANULOCYTE COLONY-STIMULATING FACTOR(G-CSF)治疗癌症

    公开(公告)号:US20110286960A1

    公开(公告)日:2011-11-24

    申请号:US13126929

    申请日:2009-11-02

    摘要: Neutropenia is the dose-limiting toxicity of the tri-weekly docetaxel (Taxotere®) schedule. Here, we evaluate in Metastatic Breast Cancer (MBC) patients (N=38) a computerized method for predicting docetaxel-induced neutropenia, and use the model to identify improved docetaxel and Granulocyte Colony Stimulating Factor (G-CSF) regimens. Pharmacokinetics/pharmacodynamics (PK/PD) models were created and simulated concomitantly with a mathematical granulopoiesis model. Individual baseline neutrophil counts and docetaxel schedules served as inputs. Our trial validated the model accuracy in predicting nadir timings (r=0.99), grade 3/4 neutropenia (86% success) and neutrophil profiles (r=0.62). Model was robust to CYP3A-induced variability, except for slightly less accurate grade 3/4 neutropenia predictions. Simulations confirm smaller toxicity of the weekly docetaxel regimen than the tri-weekly one, and suggest an optimal G-CSF support for alleviating neutropenia, 60 μg/day QD×3, 6-7 days post-docetaxel, administered tri- and bi-weekly, and 4 days post weekly docetaxel>33 mg/m2.

    摘要翻译: 中性粒细胞减少是三周多西他赛(Taxotere®)计划的剂量限制性毒性。 在这里,我们评估转移性乳腺癌(MBC)患者(N = 38)一种预测多西紫杉醇诱导的中性粒细胞减少的计算机化方法,并使用该模型来鉴定改良的多西他赛和粒细胞集落刺激因子(G-CSF)方案。 药物动力学/药效学(PK / PD)模型被创建并模拟与数学粒子学模型。 单个基线嗜中性粒细胞计数和多西他赛计划作为输入。 我们的试验验证了模型准确性预测最低点时间(r = 0.99),3/4级中性粒细胞减少(86%成功)和嗜中性粒细胞分布(r = 0.62)。 模型对CYP3A诱导的变异性是稳健的,除了稍微不太准确的3/4级中性粒细胞减少预测。 模拟证实每周多西紫杉醇方案的毒性小于三周一次,并建议最佳的G-CSF支持减轻中性粒细胞减少,60μg/天QD×3,6-天后多西紫杉醇,给予三 - 和二 - 每周,每周多西紫杉醇> 33 mg / m2。

    SEARCH DIMENSIONALITY EXPANSION
    2.
    发明申请

    公开(公告)号:US20180004807A1

    公开(公告)日:2018-01-04

    申请号:US15198118

    申请日:2016-06-30

    IPC分类号: G06F17/30

    摘要: System and techniques for search dimensionality expansion are described herein. A history of intelligent agent activity may be received. A search result generated by an external entity may be obtained that includes a set of geographic points of interest (POI). A geographic segment may be retrieved from a geographic segment library when the geographic segment contains a member of the set of POI. Here, the geographic segment defines a geographic area and a dimension set. The search result may be modified to create a modified search result that includes a member of the dimension set. The modified search result may then be transmitted to a user device.

    EVENT SCHEDULE OPTIMIZER SYSTEM
    5.
    发明申请

    公开(公告)号:US20170372254A1

    公开(公告)日:2017-12-28

    申请号:US15193725

    申请日:2016-06-27

    IPC分类号: G06Q10/06 H04L29/08 G06Q10/10

    摘要: An event schedule optimizer system includes a user interface, an invitees extractor, a time optimizer, and a place optimizer. The user interface is to receive data input from an organizer and provide data output to the organizer. The invitees extractor is to generate an intended invitees list including intended invitees for a target event based on the data input from the organizer. The time optimizer is to determine an optimal time period for the target event based on a list of historical events of the organizer. The place optimizer is to determine an optimal place for the target event based on a set of proposed times and the list of historical events of the organizer.