Translational Biology Core

转化生物学核心

• 批准号: 10707919
• 负责人: EDWARD E GRAVES
• 金额: $ 27.87万
• 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/10707919
• 关键词: Algorithms; Animals; Artificial Intelligence; Biocompatible Materials; Biology; Board Certification; Caring; Cell Line; Cell Therapy; Cells; Clinical; Collaborations; Data; Data Set; Development; Ensure; Film; Goals; Histopathology; Human Resources; Image; Individual; Ions; Laboratories; 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) 在这份修订后的申请中，对上一次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 在整个计划项目中保持一致性和量化准确性。核心的每项服务都与和 将由每个项目使用。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和可重复使用的方法，我们还将 利用在这项工作中产生的数据，以制定自动化的目标划定和治疗计划 使用机器学习和人工智能方法的算法。核心B的目标有四个方面，以及 包括服务和技术开发工作： 具体目标1：使用临床相关技术治疗小动物肿瘤和正常组织 适形图像引导技术。 具体目标2：利用人工智能和机器学习技术使组织和肿瘤自动化 分割和放射治疗计划定义。 具体目标3：对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：为每种细胞系、动物品系、培养液和血清提供一个集中的储存库 项目。