Training in Multi-Modality Molecular and Transitional Cardiovascular Imaging

这是对目前资助的T32基金的第二次竞争性续签的修订，该基金获得了非常 有利的初步审查。这项资助提供多学科、多模式分子方面的博士后培训。 以及为拥有医学博士或/和博士学位的高资质人员提供转译心血管成像。 为作为高度临床相关领域的独立调查人员的学术生涯做准备 心血管成像和影像引导介入。作为成像技术和分子医学 发展，往往会出现越来越复杂的问题，需要从多个角度汇聚 纪律。心血管成像的未来很可能将由综合多学科来实践 拥有不同专业领域的团队。该研究培训计划的目标是提供必要的 在这种新的多学科调查环境中工作所需的技能。申请者将从以下地点招募 临床科室和基础科室，注重招聘女性、少数民族、残疾人、 和处于不利地位的候选人。我们将继续挑选和招募申请者，以维持对6个职位的支持- 每年都有博士研究员，医生和科学家的比例相等。我们增加了一条新的路径 将重点放在图像引导治疗上，并将图像分析途径扩展到包括特定的 最近成立的翻译图像分析和深度学习中心提供机器和深度学习方面的培训 机器学习(TIAML)中心，并与该大学的数据科学中心合作。博士后 奖学金培训将持续2-3年。博士后将有四个主要研究重点 培训，1)心血管分子成像，2)心血管成像技术和分析，3)成像 导引治疗和4)平移性心血管成像。这个项目的主要教员来自 耶鲁大学工程与应用科学学院生物医学工程系 耶鲁大学医学院内的多个系，包括：内科( 心血管医学)、放射学和生物医学成像以及外科。教职员工赞助商一直是 根据校外支持、研究效率和对多学科培训的承诺而选择。 每个受训人员将被分配一名基础科学和工程或临床研究的主要导师。 并以互补的专业知识共同指导。实习生的进步将由个人导师监督， 实习生顾问委员会和项目主管。辛努萨斯博士和邓肯博士将共同管理 计划，以确保在相关临床和工程科学方面的平衡和综合经验。我们 还在我们的T32培训计划和血管生物学之间建立了更正式的关系 心血管内科内的T32培训计划，并将建立年度研究 与正在进行的研究的同事一起休息。这一静修应该有助于更好地整合基本的、 心内科和其他参与科室内的翻译和临床研究。

This is the revision of a second competitive renewal of a currently funded T32 grant that received a very favorable initial review. This grant provides post-doctoral training in multi-disciplinary multi-modality molecular and translational cardiovascular imaging for highly qualified fellows holding either a MD or/and PhD, in preparation for academic careers as independent investigators in the highly clinically relevant field of cardiovascular imaging and image guided intervention. As imaging technology and molecular medicine advances, increasingly complex questions often arise requiring the convergence of perspectives from multiple disciplines. The future of cardiovascular imaging will most likely be practiced by integrated multidisciplinary teams with diverse areas of expertise. The goal of this research training program is to provide the necessary skills needed to work in this new multi-disciplinary investigative environment. Applicants will be recruited from both clinical and basic science departments, with attention paid to recruitment of female, minority, disabled, and disadvantaged candidates. We will continue to select and enroll applicants to maintain support for 6 post- doctoral fellows each year, with an equal balance of physicians and scientists. We have added a new pathway that focuses on image-guided therapy, and have expanded the image analysis pathway to include specific training in machine and deep learning provided by the recently established Translational Image Analysis and Machine Learning (TIAML) Center and partnering with data science center at the university. Post-doctoral fellowship training will be 2-3 years in duration. There will be four primary research focuses in the post-doctoral training, 1) cardiovascular molecular imaging, 2) cardiovascular imaging technologies and analyses, 3) image guided therapy, and 4) translational cardiovascular imaging. The primary faculty for this program are from the Department of Biomedical Engineering of the Yale School of Engineering and Applied Sciences and from multiple departments within the Yale School of Medicine, including: Internal Medicine (Section of Cardiovascular Medicine), Radiology & Biomedical Imaging, and Surgery. The faculty sponsors have been selected based on extramural support, research productivity, and commitment to multi-disciplinary training. Each trainee will be assigned a primary preceptor in the basic sciences and engineering or clinical research and co-mentor with complementary expertise. Trainee progress will be monitored by individual mentors, the trainee’s advisory committee, and the Program Directors. Drs. Sinusas and Duncan will co-manage the program to assure a balanced and integrated experience in the relevant clinical and engineering sciences. We have also established a more formal relationship between our T32 training program and the Vascular Biology T32 training program within the section of Cardiovascular Medicine and will establish an annual research retreat with fellow presentations of research in progress. This retreat should help to better integrate basic, translational and clinical research within the Section of Cardiology and other participating departments.