Intelligent Biology and Medicine in 2020: Innovating Interdisciplinary Education, Research, and Collaboration in Data Science and Artificial Intelligence

2020年智能生物学与医学：创新数据科学与人工智能的跨学科教育、研究与合作

• 批准号: 2015294
• 负责人: Zhongming Zhao
• 金额: $ 1.83万
• 依托单位: The University of Texas Health Science Center at Houston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2015294&HistoricalAwards=false
• 关键词: Intelligent; Biology; Medicine; 2020; Innovating

In the era of artificial intelligence and data science, covering data process and standardization, algorithm and tool development, statistics, machine learning and related approaches provide critical new opportunities for dealing with the amazing data growth rate. This coupled with new technologies leads to advances in health and biomedical research. The 2020 the International Conference on Intelligent Biology and Medicine (ICIBM) will be held August 9-11, 2020, led by a stellar field of keynote speakers to address themes of omics- and data-based systems, translational science and personalized medicine. The conference promotes extensive interaction and provides opportunities for junior faculty and students to participate and learn. The mission of ICIBM is to promote information science, technology, and education to a great variety of trainees and young investigators, including trainees, faculty, teachers, scientists, and engineers, and to provide a forum for the cross-fertilization of ideas. ICIBM will provide a forum to accelerate data science method development and application, to explore complex and dynamic functions and regulation in cellular systems and organisms, and to improve algorithms, deep learning, computational tools, knowledgebase, and biotechniques for better diagnosis, prevention, and treatment of diseases. ICIBM 2020 conference programs will include four distinguished keynote speakers, eminent scholars' talks, tutorial and workshop sessions, scientific presentations, a poster session, and other activities. Top manuscripts will be selected for special journal issues.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在人工智能和数据科学时代，涵盖数据处理和标准化、算法和工具开发、统计学、机器学习和相关方法为处理惊人的数据增长率提供了关键的新机会。这与新技术相结合，导致健康和生物医学研究的进步。2020年智能生物学和医学国际会议（ICIBM）将于2020年8月9日至11日举行，由一个恒星领域的主题演讲者领导，以解决组学和基于数据的系统，转化科学和个性化医疗的主题。会议促进了广泛的互动，并为初级教师和学生提供了参与和学习的机会。ICIBM的使命是促进信息科学，技术和教育，以各种各样的学员和年轻的研究人员，包括学员，教师，教师，科学家和工程师，并提供一个论坛的思想交叉施肥。ICIBM将提供一个论坛，以加速数据科学方法的开发和应用，探索细胞系统和生物体中复杂和动态的功能和调节，并改进算法，深度学习，计算工具，知识库和生物技术，以更好地诊断，预防和治疗疾病。ICIBM 2020会议计划将包括四位杰出的主题演讲人，著名学者的讲座，教程和研讨会，科学演示，海报会议和其他活动。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。