Center for Machine Learning in Urology-Admin Core

泌尿科机器学习中心-管理核心

• 批准号: 10260578
• 负责人: Gregory Edward Tasian
• 金额: $ 12.62万
• 依托单位: CHILDREN'S HOSP OF PHILADELPHIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10260578
• 关键词: Adult; Algorithms; Award; Awareness; Benign; Characteristics; Child; Child Care; Clinic; Clinical; Clinical Research; Collaborations; Communication; Communities; Complex; Data; Development; Diagnosis; Disputes; Ensure; Fellowship; Functional disorder; Funding; Goals; Growth; Individual; Infrastructure; Institution; Interdisciplinary Study; Internet; Internships; Interpersonal Relations; Investigation; Knowledge; Leadership; Learning; Longevity; Machine Learning; Measurement; Mission; Modeling; National Institute of Diabetes and Digestive and Kidney Diseases; Outcome; Pattern; Pediatric Hospitals; Pennsylvania; Performance; Philadelphia; Prediction of Response to Therapy; Process; Publications; Research; Research Infrastructure; Research Personnel; Resolution; Resources; Structure; Students; Techniques; Training; Universities; Urologic Diseases; Urology; Vision; Work; base; clinical care; collaborative approach; complex data; design; improved; improved outcome; innovation; interdisciplinary collaboration; interest; knowledge of results; meetings; online resource; open-access repositories; peer; programs; risk stratification; skills; social culture; success; summer research; symposium; theories; tool; urologic

PROJECT SUMMARY ADMINISTRATIVE CORE The central mission of the proposed Children’s Hospital of Philadelphia (CHOP) and University of Pennsylvania (Penn) Center for Machine Learning in Urology (CMLU) is to apply machine learning to improve understanding of the pathophysiology, diagnosis, risk stratification, and prediction of treatment responses of benign urological disease among children and adults. Under the leadership of Dr. Gregory Tasian, the purpose of the Administrative Core is to direct the CMLU to ensure that it effectively and efficiently accomplishes its mission. To this end, the Administrative Core will administer the Educational Enrichment Program and create the infrastructure for scientific collaboration and communication within the CHOP/Penn Center and between other Exploratory Centers and NIDDK-funded programs. Through the Educational Enrichment Program, the Administrative Core will facilitate access of KURe recipients, UroEpi programs, P20 Developmental Center and O’Brien Center Investigators to the knowledge and expertise of CHOP and Penn investigators. Collectively, the Administrative Core programs will increase the strength of the benign urologic research community through interactive forums with the research base that generate new ideas, provide training in the application of machine learning, and disseminate research findings. The Administrative Core will advance the central mission of the CMLU through four synergistic Specific Aims. 1) To enhance and expand the larger benign urologic research community. 2) To create the infrastructure for implementing the strategic vision of the CHOP/Penn Center. 3) To direct the CHOP/Penn Center Educational Enrichment Program. 4) To evaluate the performance of the CHOP/Penn Center. The innovative structure of the Administrative Core is designed to break down silos by establishing relationships with investigators within CHOP and Penn and with the broader urologic research community, and availing the resources and findings of the CMLU to all stakeholders. These innovative activities include coaching clinics, interinstitutional exchange programs for trainees and junior investigators, a summer research fellowship, and an annual research symposium. In addition, we will provide a robust web presence to facilitate dissemination and building a research community. Web resources include an educational hub and open-access repository for all work products of the CMLU, both of which will help investigators within and outside of CHOP/Penn to apply machine learning tools to generate knowledge that improves the care for children and adults with benign urologic disease. The infrastructure provided by the Administrative Core will help to improve outcomes for individuals across the lifespan and create new opportunities for the wider research community to learn how to apply machine learning to the study of benign urologic disease.

项目摘要行政核心 拟议的费城儿童医院（CHOP）和宾夕法尼亚大学的中心任务 （Penn）泌尿外科机器学习中心（CMLU）是应用机器学习以提高理解 病理生理学，诊断，风险分层和良性泌尿科治疗反应的预测 儿童和成人的疾病。在格雷戈里·塔西安（Gregory Tasian）博士的领导下， 行政核心是指示CMLU确保其有效，有效地完成其使命。 为此，行政核心将管理教育丰富计划并创建 CHOP/PENN中心和其他之间的科学合作与沟通基础设施 探索中心和NIDDK资助的计划。通过教育丰富计划， 行政核心将有助于访问Kure收件人，Uroepi计划，P20发展中心和 O'Brien Center的调查人员了解CHOP和PENN调查人员的知识和专业知识。集体， 行政核心计划将通过 与研究基础的互动论坛产生新想法，为机器的应用提供培训 学习并传播研究结果。行政核心将推进 CMLU通过四个协同特定的目的。 1）增强和扩展更大的良性泌尿科研究界。 2）创建基础架构来实施CHOP/PENN中心的战略视野。 3）指导Chop/Penn中心教育丰富计划。 4）评估Chop/Penn中心的性能。 行政核心的创新结构旨在通过建立关系来分解筒仓 与Chop和Penn的调查人员以及更广泛的泌尿科研究社区，并利用 CMLU向所有利益相关者的资源和发现。这些创新的活动包括教练诊所 针对受训者和初级调查人员的机构间交流计划，夏季研究奖学金以及一个 年度研究研讨会。此外，我们将提供强大的网络形象，以促进传播和 建立研究社区。网络资源包括所有人的教育枢纽和开放式存储库 CMLU的工作产品，这两个都将帮助Chop/Penn内外的调查人员申请 机器学习工具以产生知识，以改善良性泌尿科的儿童和成人的护理 疾病。行政核心提供的基础设施将有助于改善个人的成果 在整个生命周期中，为更广泛的研究社区创造了新的机会，以学习如何应用机器 学习良性泌尿科疾病的研究。