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Technical category
    • 川崎症光學即時檢測方法及裝置

      AI & IOT Application FutureTech 川崎症光學即時檢測方法及裝置

      Swelling at the extremities of the extremities is quite common in KD,it is one of the five major diagnostic criteria for KD. According to the results of our research, about 90 of the children will have this symptomis the most important symptoms of KD suggested by American Heart Association. Our research also found that albumin decreased,the degree of reduction is obviously positively related to the severity of the disease, so we have developed a theory that can detect water, hemethe optical method of oxygen. Provides a non-intrusive method for quick differentiation.
    • 3D數位病理影像暨AI輔助分析診斷平台

      Precision Health Ecosystem FutureTech 3D數位病理影像暨AI輔助分析診斷平台

      3D digital pathology imagingAI auxiliary diagnosis platform integrates 3D pathology sample preparation, high speed image scanning,intelligent software analysis into a novel system. We have collaborated with clinical pathologists to develop both 3D biopsy pathology imaging workflowthe world first 3D pathology image analysis software MetaLite, along with AI models pathology feature annotationquantitative analysis of solid tumor with high accuracy can be rapidly processed. We have transferred patented technology to start up JelloX Biotech Inc. at NTHU for further operation.
    • 一種豬瘟Erns可溶性蛋白生產純化技術及其專一性鑑別型之應用性

      Precision Health Ecosystem FutureTech 一種豬瘟Erns可溶性蛋白生產純化技術及其專一性鑑別型之應用性

      The technology optimizes the antigen protein expression system, so that the structural protein Erns of CFSV converts insoluble proteins into soluble proteins during the production process. The breakthrough of this technology allows the antigen protein to be applied to the development of an immune attachment screening platform, as a specialized differential diagnostic reagents can distinguish between virus-infectedvaccinated pigs, which can be applied to the monitoring system of virus transmission rangevaccination
    • Zero Contact Detection-Facial Stroke, Heart Rate and Breath Detection Technology

      Precision Health Ecosystem FutureTech Zero Contact Detection-Facial Stroke, Heart Rate and Breath Detection Technology

      We use features such as asymmetric expression and crooked eyes to assess the risk of facial stroke. Observing the micro vibration of the head caused by the contraction of the heart, and develop a zero-contact facial heart rate and respiration rate detection technology in conjunction with the camera. The technology can accurately measure heart rate and respiration rate in real time, thereby reducing the risk of infection. This technology has obtained two ROC patents (M590433, I689285), two US patents (HEART RATE DETECTION METHOD AND DEVICE THEREOF,MOUTH AND NOSE OCCLUDED DETECTING METHOD AND SYSTEM THEREOF). The possibility of detecting strokes through AI machine learning methods is not only accurate, but also find out signs of stroke early to grasp the best time to seek medical treatment.
    • AI動態老藥新用平台及COVID-19應用

      FutureTech AI動態老藥新用平台及COVID-19應用

      We propose an AI dynamics drug repurposing platform applicate on COVID-19. This platform analyzed a large number of structures of SARS-CoV, MERS,cross-species coronavirus 3CL protease-ligand complexes to construct uncovering six flexible active site conformationspharmacophore clusters for SARS-CoV-2 3CL protease screening all FDA drugsfound four inhibitors within three months. Among them, JM206 had even demonstrated ten times better efficacy than Remdesivir in-vitro assayalso show the effect on the in-vivo hamster model to alleviate the symptoms caused by COVID-19.
    • 單一癌細胞之3D球體快速培養及其臨床應用

      Precision Health Ecosystem FutureTech 單一癌細胞之3D球體快速培養及其臨床應用

      R3CE (Rapid, Reproducible, Rare Cell 3D Expansion) is a clinically validated platform capable of generating single cell-derived organoids within one to four weeks. It outperforms currently 3D culture technologies in terms of yields, time to form organoids,easiness of operation. It also demonstrates similar yieldscost structure to 2D culture protocols. R3CE is ready for drug testing for all clinical samplesprovides sufficient quantity of genomic samples derived from cancer patients. It would help conduct clinical cancer treatment in the translational study.
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