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An innovative platform allowing patients to consent to data reuse, reducing clinical trial recruitment timeline by 50% and saving customers up to £150M

An innovative platform allowing patients to consent to data reuse, reducing clinical trial recruitment timeline by 50% and saving customers up to £150M
An%20创新%20平台%20允许%20患者%20to%20同意%20to%20数据%20重用、%20减少%20临床%20试验%20招募%20时间线%20by%2050%%20和%20节省%20客户%20up%20to%20£1.5亿
批准号:
10073046
负责人:
金额:
$50.92万
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:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
GENEHUB有限公司(GeneHub)是一家总部位于英国的Pharmatech SME,其核心项目团队由Edward Straiton(首席运营官/项目主管)、Nicolo Maioli(技术主管)、Paavan Buddev(用户体验/用户界面主管)和Craig Coulton(首席执行官/商业主管)组成。GeneHub正在通过其创新的数据共享平台解决一个重大的未得到满足的需求,该平台将医药/生物技术分析带到患者数据所在的位置,维护患者隐私和数据安全,并加快患者的利益。使用OMIX,患者同意在临床试验中重复使用他们的基因组临床数据,取消了目前导致患者数据浪费的二次数据使用限制。减少筛选和招募患者参加临床试验所需的时间,并防止数据浪费,将加快临床试验,解决英国临床试验开工率下降的问题(最近全球临床试验从第4位降至第10位),并挽救患者的生命。这个直接面向患者的平台将是第一个明确使用基因组临床数据进行临床试验的平台,并将重点放在知情同意和使用隐私保护技术的数据重用上。
英文摘要
GENEHUB LTD (GeneHub) is a UK-based Pharmatech SME with a core project team of Edward Straiton (CPO/project lead), Nicolo Maioli (technical lead), Paavan Buddhdev (UX/UI lead) and Craig Coulton (CEO/commercial lead). GeneHub is solving a significant unmet need with its innovative data-sharing platform that brings Pharma/Biotech analysis to where patient data resides, maintaining patient privacy and data security and accelerating patient benefits. Using OMIX, patients consent to reuse their genomic+clinical data across clinical trials, negating secondary data use restrictions that currently result in wasted patient data. Reducing the time required to screen and recruit patients to clinical trials and prevent data wastage will accelerate clinical trials, address the UK's decline in clinical trials started (recently falling from 4th to 10th globally) and save patient lives. This direct-to-patient platform will be the first built explicitly for clinical trials using genomic+clinical data and will focus on informed consent and data reuse using privacy-preserving technologies.
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information