NCI SBIR Contract Topic 428 Phase II (Solicitation Number: BAA 75N91022R00027): Cloud-based Liquid-biopsy and Radiomics Platform for the Cancer Research Data Commons

NCI SBIR 合同主题 428 第二阶段（征集编号：BAA 75N91022R00027）：用于癌症研究数据共享的基于云的液体活检和放射组学平台

• 批准号: 10906504
• 负责人: CHUN-CHI (JIM) LIU
• 金额: $ 199.49万
• 依托单位: EARLYDIAGNOSTICS, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2025-08-14
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10906504
• 关键词: Acceleration; Adoption; Blood; Cancer Detection; Cancer Patient; Cloud Computing; Contracts; Data; Data Analyses; Data Commons; Data Set; Diagnostic; Ensure; Genomics; Goals; Image; Imaging Device; Methylation; Multiomic Data; Patient Care; Phase; Population; Small Business Innovation Research Grant; Testing; Tube; anticancer research; cancer therapy; clinical application; cloud based; computational platform; data repository; deep learning; diagnostic tool; epigenomics; informatics tool; liquid biopsy; multiple omics; petabyte; prototype; radiomics; recruit; tool; tumor; usability

Integrative analysis of multi-omics datasets is revolutionizing cancer research and patient care. To take advantage of the full breadth of CRDC’s petabyte-scale data, EarlyDx will seamlessly integrate its liquid biopsy cloud-computing platform with CRDC data repositories. Liquid biopsies provide a non-invasive approach for interrogating the genomic and epigenomic profiles of tumors. Co-analysis of CRDC datasets with userprovided data from a tube of blood will ensure broad user adoption of the CRDC. To that end, in Phase I, EarlyDx has developed a prototype that successfully integrates its informatics tools with the CRDC multi-omics datasets through the DCF. The goal of this Phase II project is to finalize the Phase I prototype and expand the prototype to integrate imaging data in the CRDC and implement deep learning tools for integrative multi-omics and radiomics analysis. Specifically, we will conduct the following aims: 1) finalize the Phase I prototype for multi-omics analysis; 2) expand the platform for CRDC imaging data analysis; 3) implement integrative analysis tools; 4) implement diagnostic tools; 5) recruit at least 100 users for usability testing. Our platform with CRDC integration will accelerate cancer research and promote clinical applications such as cancer detection and treatment in broad populations.

多组学数据集的综合分析正在给癌症研究和患者护理带来革命性的变化。为了充分利用CRDC数PB级的数据，EarlyDx将把其液体活检云计算平台与CRDC数据仓库无缝集成。液体活检提供了一种非侵入性的方法来询问肿瘤的基因组和表观基因组图谱。将CRDC数据集与用户提供的血液管数据进行联合分析，将确保广泛的用户采用CRDC。为此，在第一阶段，EarlyDx开发了一个原型，通过DCF成功地将其信息学工具与CRDC多组学数据集整合在一起。这一第二阶段项目的目标是敲定第一阶段原型并扩展原型，以整合CRDC中的成像数据，并实施用于综合多组学和放射组学分析的深度学习工具。具体来说，我们将进行以下目标：1)完成多组学分析的第一阶段原型；2)扩展CRDC成像数据分析平台；3)实施综合分析工具；4)实施诊断工具；5)招募至少100名用户进行可用性测试。我们的平台与CRDC的整合将加速癌症研究，并在广泛的人群中促进癌症检测和治疗等临床应用。