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    METHOD TO IDENTIFY OPTIMUM CORONARY ARTERY DISEASE TREATMENT
    1.
    发明申请
    METHOD TO IDENTIFY OPTIMUM CORONARY ARTERY DISEASE TREATMENT 审中-公开
    识别最佳冠状动脉疾病治疗的方法

    公开(公告)号：US20160292372A1

    公开(公告)日：2016-10-06

    申请号：US14442517

    申请日：2013-11-15

    申请人： Ali KAMEN ,  Maneesh Kumar SINGH ,  Sebastian POELSTERL ,  Lance Anthony LADIC ,  Dorin COMANICIU

    发明人： Ali Kamen ,  Maneesh Kumar Singh ,  Sebastian Poelsterl ,  Lance Anthony Ladic ,  Dorin Comaniciu

    IPC分类号： G06F19/00 ,  G06N3/04 ,  G06N3/08

    CPC分类号： G16H50/20 ,  G06N3/0472 ,  G06N3/08

    摘要： A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.

    摘要翻译： 一种鉴定患有冠状动脉疾病的患者的最佳治疗的方法，包括：（i）提供患者信息，所述患者信息选自：（a）患者中一种或多种冠状动脉疾病相关生物标志物的状态; （b）从先前情况史，干预史和用药史选择的一项或多项病史信息; （c）患者具有诊断史的一项或多项诊断史; 和（d）一个或多个人口统计数据项目; （ii）在以下方面聚合患者信息：（a）贝叶斯网络; （b）机器学习和神经网络; （c）基于规则的制度; 和（d）基于回归的系统; （iii）通过放置裸金属支架或药物涂层的支架，导出包括经皮冠状动脉介入的每个干预的预测概率不良事件结果; 或通过冠状动脉旁路移植术; 和（iv）确定具有最低预测概率不良结果的干预。

    Method to identify optimum coronary artery disease treatment
    2.
    发明授权
    Method to identify optimum coronary artery disease treatment 有权

    公开(公告)号：US11450431B2

    公开(公告)日：2022-09-20

    申请号：US14442517

    申请日：2013-11-15

    申请人： Ali Kamen ,  Maneesh Kumar Singh ,  Sebastian Poelsterl ,  Lance Anthony Ladic ,  Dorin Comaniciu

    发明人： Ali Kamen ,  Maneesh Kumar Singh ,  Sebastian Poelsterl ,  Lance Anthony Ladic ,  Dorin Comaniciu

    IPC分类号： G06N3/04 ,  G06N3/08 ,  G16H50/20 ,  G16Z99/00

    摘要： A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.

    MICROSCOPIC AND MACROSCOPIC DATA FUSION FOR BIOMEDICAL IMAGING
    3.
    发明申请
    MICROSCOPIC AND MACROSCOPIC DATA FUSION FOR BIOMEDICAL IMAGING 审中-公开
    用于生物医学成像的微观和宏观数据融合

    公开(公告)号：US20100121172A1

    公开(公告)日：2010-05-13

    申请号：US12369847

    申请日：2009-02-12

    申请人： Lance Anthony Ladic ,  Gianluca Paladini

    发明人： Lance Anthony Ladic ,  Gianluca Paladini

    IPC分类号： A61B5/05

    CPC分类号： A61B5/00 ,  G06T7/33 ,  G06T7/38 ,  G06T2207/10056 ,  G06T2207/30024

    摘要： Macroscopic imaging data, such as CT, MR, PET, or SPECT, is obtained. Microscopic imaging data of at least a portion of the same tissue is obtained. The microscopic imaging data is spatially aligned with the macroscopic imaging data. The spatial alignment allows calculation and/or imaging using both types of data as a multi-resolution data set. A given image may include information about the relative position of the microscopically imaged tissue to the macroscopically imaged body portion. This positional relationship may allow viewing of affects or changes at cellular levels as well as less detailed tissue structure or organism levels and may allow determination of any correlation between changes in both levels.

    摘要翻译： 获得宏观成像数据，如CT，MR，PET或SPECT。 得到至少一部分相同组织的显微成像数据。 显微成像数据与宏观成像数据在空间上对齐。 空间对准允许使用两种类型的数据作为多分辨率数据集的计算和/或成像。 给定的图像可以包括关于微观成像的组织相对于宏观成像的身体部分的相对位置的信息。 这种位置关系可以允许查看细胞水平的影响或变化以及较不详细的组织结构或生物体水平，并且可以允许确定两个水平的变化之间的任何相关性。