Development of data science course and summer bootcamp for ADRD researchers

为 ADRD 研究人员开发数据科学课程和夏季训练营

• 批准号: 10405365
• 负责人: Chunyu Wang
• 金额: $ 8.07万
• 依托单位: RENSSELAER POLYTECHNIC INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10405365
• 关键词: Alzheimer' s disease related dementia; Data Science; Development; Research Personnel

Abstract Given the rising prominence of data science in biomedical and Alzheimer’s research, fueled by recent developments in artificial intelligence (AI), especially deep learning, and high- performance computer hardware; a need has emerged to broadly train the predoctoral students in data science, in both its fundamental principles, and its applications to Alzheimer’s disease and related dementia (ADRD). To this end, we will develop a spring 2022 course with seven modular units in the following areas: 1. Fundamentals and overview (Lai and C. Wang); 2. Deep learning (G. Wang and Lai); 3. Bioinformatics (Bystroff and Fraser); 4. Medical imaging and ADRD (G. Wang and Yan); 5. Systems engineering (Hahn); 6. Multi-omics (Hurley and Fraser); 7. AI and drug discovery (C. Wang, Dordick and Fraser). During the summer of 2022, we will develop a data science bootcamp to provide the students with hands-on experience in data science, featuring a week-long intensive training in R, followed by a coached project to analyze an ADRD dataset, e.g., from AD knowledge portal (https://adknowledgeportal.synapse.org). The course will culminate in a mini-conference where the students present their research results to a panel of domain experts. Both the new course and summer camp will be developed and taught in person and will also be recorded and made available via an online platform to the NIA T32 trainees and graduate students from the Departments of Architecture, Biological Sciences, Biomedical Engineering, Chemical Engineering and Chemistry at Rensselaer. All the training materials will be regularly updated and made freely available to the scientific community through Rensselaer’s web portal and as new training modules through the institution’s online training platform Percipio. Using online quizzes, surveys and in-person interviews, the newly developed course and bootcamp will be evaluated for efficacy, effectiveness and sustainability.

抽象的 鉴于数据科学在生物医学和阿尔茨海默病研究中的重要性日益突出， 人工智能（AI）的最新发展，特别是深度学习和高 性能计算机硬件；需要广泛培训博士前学生 数据科学的基本原理及其在阿尔茨海默病中的应用 和相关痴呆症（ADRD）。 为此，我们将开发包含以下七个模块单元的 2022 年春季课程 领域： 1. 基础知识和概述（Lai 和 C. Wang）； 2. 深度学习（G. Wang 和 Lai）； 3.生物信息学（Bystroff和Fraser）； 4. 医学影像与 ADRD（G. Wang 和 Yan）； 5. 系统工程（哈恩）； 6. 多组学（Hurley 和 Fraser）； 7. 人工智能和药物发现 (C. 王、多迪克和弗雷泽）。 2022 年夏季，我们将举办数据科学训练营，为学生提供 拥有数据科学方面的实践经验，随后进行了为期一周的 R 强化培训 由指导项目分析 ADRD 数据集，例如来自 AD 知识门户的数据集 （https://adknowledgeportal.synapse.org）。该课程将在一次小型会议中达到高潮，其中 学生们向领域专家小组展示他们的研究成果。 新课程和夏令营都将亲自开发和授课，也将 记录并通过在线平台提供给 NIA T32 学员和毕业生 来自建筑系、生物科学系、生物医学工程系的学生， 伦斯勒化学工程和化学。所有培训材料将定期 通过伦斯勒网站更新并免费提供给科学界 门户网站并通过机构的在线培训作为新的培训模块 平台 Percipio。通过在线测验、调查和面对面访谈，新开发的 将对课程和训练营的功效、效果和可持续性进行评估。