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.

摘要 鉴于数据科学在生物医学和阿尔茨海默病研究中的地位日益突出， 人工智能（AI）的最新发展，特别是深度学习，以及 高性能计算机硬件;出现了广泛培训博士前学生的需求 在数据科学中，无论是其基本原理，还是其对阿尔茨海默病的应用， 相关痴呆（ADRD） 为此，我们将开发一个2022年春季课程，其中包括以下七个模块单元 地区：1.基本原理和概述（赖和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（赫尔利和弗雷泽）; 7.人工智能和药物发现（C。 Wang、Dordick和Fraser）。 在2022年夏天，我们将开发一个数据科学训练营，为学生提供 具有数据科学实践经验，在R语言中进行了为期一周的强化培训， 通过指导项目分析ADRD数据集，例如，来自AD知识门户 （https：adknowledgeportal.synapse.org）。课程将在一个小型会议中达到高潮， 学生们将他们的研究成果展示给一个领域专家小组。 新课程和夏令营都将亲自开发和教授， 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、 化学工程和化学在Rensselaer所有培训材料将定期 更新并通过Rensselaer的网站免费提供给科学界 门户网站，并通过该机构的在线培训作为新的培训模块 平台Percipio。利用在线测验、调查和面对面访谈，新开发的 将对课程和训练营的功效、有效性和可持续性进行评估。