Size Matters: Determination of critical control parameters for assay performance
Size Matters: Determination of critical control parameters for assay performance
批准号:
10062071
负责人:
金额:
$1.93万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
每年开出的抗生素处方超过2.5亿张;近一半是盲目的。不正确的处方导致耐药感染,每年导致120万人死亡,到2050年,死亡人数将超过癌症。FluoretiQ的使命是为临床医生提供快速测试,以制定他们的第一个抗生素处方,正确的处方。我们的快速检测平台(NANOPLEX和SCFI)将诊断和抗生素选择的周转时间从几天缩短到几分钟,使第一个处方成为正确的处方。NANOPLEX是一种先进的乳胶凝集测试,使用聚糖探针和机器学习在15分钟内识别和量化细菌,而不是2天,准确率超过90%。我们的第一个产品是(代号)P5;NANOPLEX家族的15分钟诊断测试。P5解决了每年影响全球1.5亿人的尿路感染在护理点进行准确检测的未满足需求。P5将从第一次咨询中提供明确的治疗/不治疗证据。P5确定了最重要的尿路病原体。在这个项目中,FluoretiQ将与国家物理实验室(NPL)和牛顿数学网关(Newton)的专家合作,创建NANOPLEX分析的数学模型,这将有助于确定维持测试性能的额外控制参数。
英文摘要
Over 250 million antibiotic prescriptions are issued annually; nearly half are done blindly. Incorrect prescriptions lead to drug resistant infections, which kill 1.2 million people annually and will kill more people than cancer by 2050\. FluoretiQ's mission is to provide clinicians with rapid tests to make their first antibiotic prescription, the right prescription. Our rapid testing platforms (NANOPLEX & SCFI) reduce diagnosis and antibiotic selection turnaround time from days to minutes, making the first prescription, the right prescription. NANOPLEX is an advanced latex agglutination test that uses glycan probes and machine learning to identify and quantify bacteria in 15 mins rather than 2 days, with over 90% accuracy. The first of our products is (codenamed) P5; a 15-minute diagnostic test from the NANOPLEX family. P5 addresses the unmet need for accurate point of care testing of urinary tract infections (UTIs) that affects 150 million people globally each year. P5 will provide a clear treat/do not treat evidence from the first consultation. P5 identifies the most important uropathogens.For this project, FluoretiQ will collaborate with experts from the National Physics Laboratory (NPL) and Newton Gateway to Mathematics (Newton) to create a mathematical model of the NANOPLEX assay which will help identify additional control parameters for maintaining performance of the test.
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