IMIDAZO[1,2-A]IMIDAZOL-2-ONE DERIVATIVES FOR THE TREATMENT OF DISEASES SUCH AS PARKINSON'S DISEASE

    公开(公告)号:US20200291033A1

    公开(公告)日:2020-09-17

    申请号:US16790290

    申请日:2020-02-13

    IPC分类号: C07D487/04

    摘要: The present invention relates to compounds of formula I wherein L is a bond, a triple bond, —C(O)NH— or —NHC(O)—; R1 is phenyl or a five or six-membered heteroaryl group, optionally substituted by lower alkyl, lower alkyl substituted by halogen or lower alkoxy substituted by halogen; R2 is fluoro; R3 is fluoro or chloro; R4 is hydrogen, lower alkyl, halogen, lower alkyl substituted by hydroxy, S(O)2CH3, or is a five or six-membered heteroaryl group or a heterocycloalkyl group, which are optionally substituted by lower alkyl, hydroxy or ═O; R5 and R6 are both methyl and the dotted line is a bond, or R5 and R6 are both methyl and the dotted line is nothing, or one of R5 and R6 is hydrogen and the other is methyl, and the dotted line is nothing; or to a pharmaceutically acceptable salt or acid addition salt, to all possible tautomeric forms, to a racemic mixture, or to its corresponding enantiomer and/or optical isomer and/or stereoisomer thereof. The compounds may be used for the treatment of Parkinson's disease, anxiety, emesis, obsessive compulsive disorder, autism, neuroprotection, cancer, depression and diabetes type 2.

    ARTIFACTS REMOVAL FROM TISSUE IMAGES
    136.
    发明申请

    公开(公告)号:US20200279354A1

    公开(公告)日:2020-09-03

    申请号:US16646048

    申请日:2018-09-21

    发明人: Eldad KLAIMAN

    摘要: The invention relates to a digital pathology method of generating program logic configured for removing artifacts from digital tissue images. The method comprises generating, for each of a plurality of original images, a first artificially degraded image by applying a first image-artifact-generation logic on each of the original images; and generating the program logic by training an untrained version of a first machine-learning logic that encodes a first artifacts-removal logic on the original images and their respectively generated first degraded images; and returning the trained first machine-learning logic as the program logic or as a component thereof. The first image-artifact-generation logic is A) an image-acquisition-system-specific image-artifact-generation logic or B) a tissue-staining-artifact-generation logic.

    Interference-suppressed immunoassay to detect anti-drug antibodies in serum samples

    公开(公告)号:US10761091B2

    公开(公告)日:2020-09-01

    申请号:US16197902

    申请日:2018-11-21

    摘要: Herein is reported an enzyme linked immunosorbent assay for the detection of anti-drug antibodies against a drug antibody in a sample comprising a capture drug antibody and a tracer drug antibody, wherein the capture drug antibody and the tracer drug antibody are employed in a concentration of 0.5 μg/ml or more, the sample is incubated simultaneously with the capture drug antibody and the tracer drug antibody for 1 to 24 hours, the capture drug antibody and the tracer drug antibody are derivatized via a single lysine residue, the sample comprises 10% serum, and oligomeric human IgG is added to the sample prior to the incubation with the capture drug antibody and the tracer drug antibody.