Translational Biology Core

转化生物学核心

• 批准号: 10334204
• 负责人: EDWARD E GRAVES
• 金额: $ 32.97万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-21 至 2027-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10334204
• 关键词: Algorithms; Animals; Artificial Intelligence; Biocompatible Materials; Biology; Caring; Cell Line; Cells; Clinical; Data; Data Set; Development; Ensure; Film; Goals; Histopathology; Human Resources; Image; Individual; Ions; Laboratory Personnel; Machine Learning; Maintenance; Measures; Methodology; Methods; Modification; Molecular; Normal tissue morphology; Pathologist; Radiation; Radiation Oncology; Radiation therapy; Radiobiology; Reagent; Reproducibility; Research; Resource Sharing; Resources; Sampling; Serum; Services; Site; Specimen; Standardization; Techniques; Therapeutic Index; Tissues; Tumor Tissue; X-Ray Computed Tomography; cell repository; clinically relevant; design; dosimetry; experimental study; image guided; improved; irradiation; novel; oncology trial; pre-clinical; programs; technique development; treatment planning; tumor

Project Abstract (Core B) In this revised application, modifications from the previous submission are marked in blue. Core B is designed to provide support to the projects by standardizing common methods and resources, ensuring consistency and quantitative accuracy across the Program Project. Each service of the Core is relevant to and will be utilized by each project. In addition to providing state-of-the-art preclinical radiotherapy and histopathology services in order to bring accurate and reproducible methodology across the program project, we will also leverage the data generated in this effort in order to develop automated target delineation and treatment planning algorithms using machine learning and artificial intelligence approaches. The goals of Core B are fourfold, and encompass both service and technique development efforts: Specific Aim 1: Treat tumors and normal tissues in small animals with radiation using clinically relevant conformal image-guided techniques. Specific Aim 2: Utilize artificial intelligence and machine learning techniques to automate tissue and tumor segmentation and radiation treatment plan definition. Specific Aim 3: Perform histopathologic analysis of tissue specimens collected from experimental subjects. Specific Aim 4: Provide a centralized repository of cell lines, animal strains, media, and serum for each project.

项目摘要（核心B） 在此修订后的申请中，对先前提交的修改以蓝色标记。 核心B旨在通过标准化通用方法和资源来为项目提供支持，确保 整个计划项目的一致性和定量准确性。核心的每项服务都与相关并且 将被每个项目使用。除了提供最先进的临床前放射治疗和组织病理学 为了在整个计划项目中提供准确且可重复的方法，我们还将 利用此项工作中生成的数据来开发自动化目标描绘和治疗计划 使用机器学习和人工智能方法的算法。核心 B 的目标有四个： 涵盖服务和技术开发工作： 具体目标 1：利用临床相关的放射治疗小动物的肿瘤和正常组织 共形图像引导技术。 具体目标2：利用人工智能和机器学习技术实现组织和肿瘤的自动化 分割和放射治疗计划定义。 具体目标 3：对从实验对象采集的组织标本进行组织病理学分析。 具体目标 4：为每个细胞提供细胞系、动物品系、培养基和血清的集中存储库 项目。