Rapid triaging, treatment response assessment and outcome prediction in COVID-19 patients
Rapid triaging, treatment response assessment and outcome prediction in COVID-19 patients
批准号:
54464
负责人:
金额:
$9.49万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
在医疗保健方面,及时和个性化的干预措施在当前和未来治疗各种疾病的最终效果中起着至关重要的作用。对于COVID-19也是如此,早期发现将显著改善患者预后。AINOSTICS的技术是一项突破,它将提供一个自动化、可扩展和个性化的医疗保健平台,利用多模式临床成像和非成像数据,协助COVID-19患者的临床诊断和管理;对病人的治疗都很有用,重要的是,在开发新的治疗方法。我们希望AINOSTICS的软件成为临床实践和药物开发的常规部分,因为我们的智能分析结果将为临床医生、研究人员和成像中心提供一种方便、经济的方法来获得可靠、定量和客观的诊断数据。对于严重的全球性疾病,AINOSTICS的技术有可能在患者评估期间节省时间,加快临床路径,标准化护理质量并改善患者预后,此外还可以为疾病改善疗法的发展做出重要贡献。
英文摘要
In healthcare, timely and personalised interventions have a crucial role in the ultimate effectiveness of both current and future treatments for a wide range of diseases. This is also true for COVID-19, where early detection would result in a significantly improved patient prognosis. AINOSTICS' technology represents a breakthrough that would provide an automated, extensible, and personalised healthcare platform for assisting the clinical diagnosis and management of patients suffering from COVID-19, using multi-modal clinical imaging and non-imaging data; useful for both the treatment of patients, and importantly, in the development of novel therapeutics.We intend for AINOSTICS' software to become a routine part of clinical practice and drug development as the results of our intelligent analysis will provide clinicians, researchers, and imaging centres a convenient and cost-effective means to get reliable, quantitative and objective diagnostic data.For serious global diseases, AINOSTICS' technology has the potential to save time during patient assessments, accelerate clinical pathways, standardise the quality of care and improve patient outcomes, in addition to making important contributions to the development of disease modifying therapeutics.
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