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HOW TO INCREASE THE CHANCES OF CLINICAL TRIAL SUCCESS PROBABILITY BY SELECTING GRUOPS OF PATIENTS WITH PARKINSON'S DISEASE
HOW TO INCREASE THE CHANCES OF CLINICAL TRIAL SUCCESS PROBABILITY BY SELECTING GRUOPS OF PATIENTS WITH PARKINSON'S DISEASE
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机译:通过选择帕金森病患者的组来增加临床试验成功率的可能性
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摘要
Using an artificial intelligence-based Parkinson's disease diagnosis apparatus including an image acquisition unit, an image processing unit, an image analysis unit, a diagnosis unit, and a central management unit, which is an aspect of the present invention, the probability of successful clinical trials is determined by selecting a group of patients with Parkinson's disease. In the method of increasing, the image acquisition unit acquires a plurality of first images related to the size and phase of a multi-echo from MRI photographing the brains of a plurality of patients who are candidates for a clinical trial experiment for proving drug efficacy. Level 1; A second step of post-processing the acquired plurality of first images by the image processing unit to enable observation of the nigrosome 1 region and the black matter used as image biomarkers of Parkinson's disease; A third step of classifying a plurality of second images including the nigrosome 1 region by analyzing the plurality of post-processed first images by the image analysis unit; A fourth step of detecting, by the image analysis unit, the nigrosome 1 region from the classified second images; A fifth step of providing information on the detected Nygrosome 1 region to the diagnosis unit in order to diagnose the presence or absence of Parkinson's disease in the patient; A sixth step of receiving, by the central management unit, information on at least one first patient with Parkinson's disease among the plurality of patients from the diagnosis unit; And a seventh step in which the central management unit proves the efficacy of the drug on the basis of a clinical trial on the first patient. It may include.
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