Enhancing the accuracy and efficiency of cytology with artificial intelligence powered analysis
Enhancing the accuracy and efficiency of cytology with artificial intelligence powered analysis
批准号:
600489
负责人:
金额:
$50.93万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
CytosSystems Ltd与Pathogonomics和Visio-Pharm联合开发了一种基于实验室的测试,名为BladderLight。BladderLight测试评估从接受初诊或监测膀胱癌复发的患者身上提取的尿样是否表明患有膀胱癌/尿路上皮癌的患者。这项测试使用特定的生物标记物和荧光团对固定在显微镜载玻片上的细胞进行染色,然后扫描这些细胞以创建细胞的数字图像。图像分析软件评估图像,并为膀胱癌的存在或不存在提供定性输出。
英文摘要
Cytosystems Ltd in conjunction with Pathognomics and Visio-Pharm are developing a laboratory based test called BladderLight. The BladderLight test assesses whether a urine sample taken from patients attending for initial diagnosis or for monitoring for recurrence of bladder cancer is indicative of patients having bladder cancer / urothelial carcinoma or not. The test uses specific biomarkers and fluorophores to stain cells fixed on a microscope slide which are subsequently scanned to create a digital image of the cells. Image analysis software assesses the image and provides a qualitative output for the presence or absence of bladder cancer.
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