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彻底改变癌症研究和患者护理，为了充分利用 CRDC 的 PB 级数据，EarlyDx 将其液体活检云计算平台与 CRDC 数据存储库无缝集成。 -用于询问肿瘤基因组和表观基因组图谱的侵入性方法，将 CRDC 数据集与用户提供的来自试管的数据进行联合分析，将确保 CRDC 得到广泛的用户采用。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 多组学数据集集成。第二阶段项目的目标是完成第一阶段原型并扩展原型以集成成像。具体来说，我们将实现以下目标：1）完成多组学分析的第一阶段原型；2）扩展多组学分析的平台。 CRDC 成像数据分析；3）实施综合分析工具；5）招募至少 100 个用户进行可用性测试，这将加速癌症研究并促进癌症检测和治疗等临床应用。人口。