Conference: Advances in Statistical and Computational Methods for Analysis of Biomedical, Genetic, and Omics Data

会议：生物医学、遗传和组学数据分析的统计和计算方法的进展

• 批准号: 2232547
• 负责人: Swati Biswas
• 金额: $ 3.17万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232547&HistoricalAwards=false
• 关键词: Conference; Advances; Statistical; Computational; Methods

A three-day international conference titled "Advances in Statistical and Computational Methods for Analysis of Biomedical, Genetic, and Omics Data" will be held at the University of Texas at Dallas from March 17-19, 2023. The conference will bring together diverse groups of students, junior researchers, and leading researchers from academia, industry, and government in a collaborative setting to discuss cutting-edge statistical and computational methods for health-related research. The scientific program will include plenary and invited talks, and a poster session. In addition to its core mission of contributing towards the advancement of science, this conference will provide opportunities for students and young researchers to engage in robust interaction and networking with senior researchers. Thus, the conference will also contribute toward building a diverse human capital skilled in statistics and data science for health-related research.The theme of the conference is timely, especially in today's era of big data. Massive amounts of a variety of biological and medical data are now available and continue to be collected. Information gleaned from them can power breakthroughs leading to advances in not only personalized medicine but also innovative drug designs and evidence-based medical decision support systems that can potentially revolutionize healthcare. However, a key challenge is the development of new statistical and computational methods that will allow researchers to dive deep into such data and derive actionable information from them. The conference will contribute toward fostering the development of newer and better tools for filtering useful information from large, complex, and noisy datasets, helping pave the way for future advances leading to improved healthcare. More details about the conference can be found at https://sites.google.com/view/abgod2023/home.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.

为期三天的国际会议“生物医学、遗传和组学数据分析统计和计算方法的进展”将于2023年3月17日至19日在德克萨斯大学达拉斯分校举行。会议将汇集来自学术界、工业界和政府的不同群体的学生、初级研究人员和主要研究人员，在协作环境中讨论与健康相关研究的前沿统计和计算方法。科学计划将包括全体会议和特邀会谈，以及海报会议。除了为科学进步做出贡献的核心使命外，本次会议还将为学生和年轻研究人员提供与资深研究人员进行强有力的互动和交流的机会。因此，会议还将有助于建立一支在统计和数据科学方面熟练的人力资本，用于与卫生有关的研究。本次大会的主题恰逢其时，尤其是在大数据时代的今天。现在有大量各种各样的生物和医学数据，并将继续收集这些数据。从中收集的信息不仅可以推动个性化医疗的突破，还可以推动创新药物设计和循证医疗决策支持系统的进步，这些都有可能彻底改变医疗保健。然而，一个关键的挑战是开发新的统计和计算方法，使研究人员能够深入研究这些数据并从中获得可操作的信息。会议将有助于促进更新和更好的工具的开发，用于从大型、复杂和嘈杂的数据集中过滤有用的信息，帮助为未来的进步铺平道路，从而改善医疗保健。关于会议的更多细节可以在https://sites.google.com/view/abgod2023/home.This上找到，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。