Training in Multi-Modality Molecular and Transitional Cardiovascular Imaging

这是对目前资助的T32赠款的第二次竞争性更新的修订，该赠款获得了非常高的 良好的初步审查。该基金提供多学科多模态分子生物学的博士后培训。 和翻译心血管成像的高素质研究员持有医学博士或/和博士学位，在 作为高度临床相关领域的独立研究者的学术生涯准备 心血管成像和图像引导介入。作为影像技术和分子医学 随着技术的进步，越来越复杂的问题经常出现，需要从多个角度融合观点， 学科心血管成像的未来很可能是由综合多学科 拥有不同专业领域的团队。本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。申请人将被招募从 临床和基础科学部门，注意招聘女性、少数民族、残疾人， 弱势候选人。我们将继续选择和招收申请人，以保持对6个职位的支持， 博士研究员每年，与医生和科学家的平等平衡。我们增加了一条新的途径 它专注于图像引导治疗，并扩展了图像分析途径，包括特定的 最近成立的翻译图像分析提供的机器和深度学习培训， 机器学习（TIAML）中心，并与该大学的数据科学中心合作。博士后 研究金培训为期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）图像 引导治疗和4）平移心血管成像。该计划的主要教员来自 耶鲁大学工程与应用科学学院生物医学工程系和来自 耶鲁医学院内的多个部门，包括：内科（部分 心血管医学）、放射学和生物医学成像以及外科。学院的赞助商 选择基于校外支持，研究生产力，并致力于多学科培训。 每个受训者将被分配一名基础科学和工程或临床研究的初级导师 和具有互补专业知识的共同导师。学员的进度将由个别导师监督， 学员咨询委员会和项目主管。Sinusas博士和邓肯将共同管理 计划，以确保在相关的临床和工程科学的平衡和综合经验。我们 我们还在T32培训计划和血管生物学之间建立了更正式的关系 心血管内科的T32培训计划，并将建立一个年度研究 与研究人员一起介绍正在进行的研究。这次务虚会应有助于更好地将基本、 心脏科和其他参与部门的转化和临床研究。

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.