Genetic probe used in the detection of adrenal hyperplasia
    1.
    发明授权
    Genetic probe used in the detection of adrenal hyperplasia 失效
    用于检测肾上腺增生的遗传探针

    公开(公告)号:US4720454A

    公开(公告)日:1988-01-19

    申请号:US601650

    申请日:1984-04-18

    CPC classification number: C12N9/0087 C12Q1/6883 C12Q2600/156 C12Q2600/172

    Abstract: A cDNA clone is isolated encoding a bovine adrenal cytochrome P-450 specific for steroid 21-hydroxylation (P-450.sub.C21). This plasmid pC21a contains an insert of 520 base pairs. It hybridizes with mRNA encoding P-450.sub.C21. The peptide encoded by the insert is highly homologous to two peptides isolated from porcine P-450.sub.C21 and shows limited homology to the P-450 induced by phenobarbital in rat liver. This probe and its human equivalents can be used to screen in utero i.e. pre-natal as well as post-natal patients for adrenal hyperplasia since it reacts well with human DNA as shown. These probes can also be useful for an industrial fermentation process to produce cortisone in quantity.

    Abstract translation: 分离cDNA克隆,其编码对类固醇21-羟基化(P-450C21)特异性的牛肾上腺细胞色素P-450。 该质粒pC21a含有520个碱基对的插入片段。 它与编码P-450C21的mRNA杂交。 由插入片段编码的肽与从猪P-450C21分离的两种肽高度同源,并且与大鼠肝脏中苯巴比妥诱导的P-450显示有限的同源性。 该探针及其人类等同物可用于筛选子宫内,即出生前以及出生后患者的肾上腺增生,因为如图所示,它与人类DNA发生反应良好。 这些探针也可用于工业发酵过程以量产生可的松。

    SYSTEMS AND METHODS FOR ANONYMIZATION OF IMAGE DATA

    公开(公告)号:US20240394408A1

    公开(公告)日:2024-11-28

    申请号:US18696891

    申请日:2022-09-28

    Abstract: Described embodiments provide systems and methods for anonymizing image data. A computing system can obtain a medical image of a subject, the medical image comprising a set of slices and being associated with a set of metadata regarding the medical image and the subject. The computing system may identify, based on the set of metadata, one or more regions of interest (ROIs) of the subject in the medical image, the ROIs corresponding with a condition to be evaluated by a clinician. The computing system may select, based on the ROIs, a modification technique to apply to the medical image, wherein selecting the modification technique comprises determining an image segment that is situated outside of the identified ROIs, the image segment comprising a distinguishing feature of the subject. The computing system may generate a modified image by applying the modification technique to the medical image to render the distinguishing feature indistinguishable.

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