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Gomori

Akira Gomori, Tochigi JP

Patent application numberDescriptionPublished
20100184648Therapeutic agent for non-alcoholic fatty liver disease, and screening method for drug candidate compound for treatment or prevention of non-alcoholic fatty liver disease - A therapeutic agent for a non-alcoholic fatty liver disease comprising a melanin-concentrating hormone receptor antagonist as an active ingredient, which is developed based on a novel mechanism of action that a melanin-concentrating hormone receptor is involved in non-alcoholic fatty liver diseases. A method for screening a drug candidate compound for the treatment or prevention of a non-alcoholic fatty liver disease by utilizing the mechanism.07-22-2010

Janos Gomori, Stafa CH

Patent application numberDescriptionPublished
20100009010CONCENTRATE FOR PREPARING A DISINFECTANT AND METHODS FOR ITS PREPARATION AND USE - A storage-stable aqueous concentrate for the preparation of a disinfectant and a disinfectant obtainable from such a concentrate by dilution are disclosed. The concentrate comprises hydrogen peroxide, colloidal silver, a biopolymeric stabilizer such as gum arabic, and phosphoric acid. In order to improve long-term stability and to reduce initial decomposition of the hydrogen peroxide in the first few days after preparing the concentrate, the concentrate further comprises sodium nitrate or sodium sulfate. The concentrate is free of any synthetic organic complexing agents, thus rendering the concentrate suitable for food- and drinking water applications. Also disclosed are methods of preparing and using the concentrate.01-14-2010

Moshe Gomori, Jerusalem IL

Patent application numberDescriptionPublished
20110262346REACTORS AND METHODS FOR PRODUCING SPIN ENRICHED HYDROGEN GAS - The present invention provides a reactor and a process for producing spin enriched hydrogen and/or deuterium gas.10-27-2011

Moshe John Gomori, Jerusalem IL

Patent application numberDescriptionPublished
20100260396 INTEGRATED SEGMENTATION AND CLASSIFICATION APPROACH APPLIED TO MEDICAL APPLICATIONS ANALYSIS - A novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detecting multiple sclerosis lesions in 3D MRI data. The method uses segmentation to obtain a hierarchical decomposition of a multi-channel, anisotropic MRI scan. It then produces a rich set of features describing the segments in terms of intensity, shape, location, and neighborhood relations. These features are then fed into a decision tree-based classifier, trained with data labeled by experts, enabling the detection of lesions in all scales. Unlike common approaches that use voxel-by-voxel analysis, our system can utilize regional properties that are often important for characterizing abnormal brain structures. Experiments show successful detections of lesions in both simulated and real MR images.10-14-2010