TOPIC 408: TOOLS AND TECHNOLOGIES FOR VISUALIZING MULTI-SCALE DATAPROJECT TITLE: SIMBIOSYS PHENOSCOPE: A CLOUD-ENABLED, WEB-BASED PORTAL FOR RAW AND

主题 408：用于可视化多尺度数据的工具和技术项目名称：SIMBIOSYS PHENOSCOPE：支持云的、基于 Web 的原始和数据门户

• 批准号: 10700371
• 负责人: JOSEPH PETERSON
• 金额: $ 200万
• 依托单位: SIMBIOSYS, INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2024-09-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10700371
• 关键词: Algorithms; Case Study; Clinical; Contracts; Data; Data Element; Development; Dimensions; Documentation; Engineering; Environment; Genomics; Heterogeneity; Individual; Internet; Learning; Light; Malignant Neoplasms; Medical Imaging; Outcome; Pathway interactions; Phase; Prognostic Marker; Research; Research Personnel; Security; Surrogate Markers; Techniques; Technology; Testing; Tissues; behavioral phenotyping; biomarker development; biomarker discovery; data exploration; data repository; digital pathology; effective therapy; model development; novel; pathology imaging; pharmacodynamic biomarker; phenomics; predictive marker; simulation; single cell sequencing; spatiotemporal; tool; tumor; web portal

Heterogeneity among cancers and differences within individual tumors continue to challenge the efforts to develop effective therapies. A multitude of data such as single cell sequencing, digital pathology, and medical imaging are being generated to captures heterogeneityacross multiple scales. However, data is siloed and connections between scales remains elusive. SimBioSys PhenoScope is a novel research tool to harmonize these disparate data elements, connecting the genomic, cellular/pathway, microscropic tissue environment, and tissue scales. The tool is being developed for use in biomarker discovery. Combining state-of-the-artmachine learning, dimensionality reduction techniques, novel spatio-temporal simulation algorithms, and support for public data repositories, PhenoScope provides a new means of assessing factors contributing to a cancer's phenotypical behavior, thereby allowing elucidation of new pharmacodynamic, prognostic, predictive,and surrogate biomarkers. During the Phase II contract, a beta version of the application will be developed. Specific activities will include: 1) support for clinical outcomes data, 2) capabilities for users to bring their own data, 3) an interactive scripting/data exploration environment, 4) compatibility and cloud deployment enhancements, and 5) beta testing with customers. This technology enables researchers to study cancer in a new light, and leads the way in to the upcoming phenomics era.

癌症之间的异质性和各个肿瘤内部的差异继续挑战e e e e e e e e e效治疗。正在生成许多数据，例如单细胞测序，数字病理学和医学成像，以捕获多个尺度的异质性。但是，数据是孤立的，并且量表之间的连接仍然难以捉摸。 Simbiosys势镜是一种新型的研究工具，可以协调这些不同的数据元素，连接基因组，细胞/途径，微质组织环境和组织量表。该工具正在开发用于生物标志物发现。结合最先进的艺术学习，降低尺寸的技术，新颖的时空模拟算法以及对公共数据库库的支持，Phenoscope提供了一种评估有助于癌症表型行为的因素的新方法，从而阐明了新的药物，预测，预测性，预测性，预测性，预测性，预测性，和杂物。在第二阶段合同期间，将开发该应用程序的Beta版本。特定的活动将包括：1）支持临床结果数据，2）用户带来自己的数据的功能，3）交互式脚本/数据探索环境，4）兼容性和云部署增强功能，以及5）与客户的Beta测试。该技术使研究人员能够以新的眼光研究癌症，并导致即将到来的现象时代。