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

为期三天的题为“生物医学，遗传学和组学数据分析的统计和计算方法进展”的国际会议将于2023年3月17日至19日在德克萨斯大学达拉斯举行。会议将汇集来自学术界，工业界和政府的学生，初级研究人员和领先研究人员的不同群体，以合作的方式讨论健康相关研究的尖端统计和计算方法。科学计划将包括全体会议和特邀演讲，以及海报会议。除了促进科学进步的核心使命外，本次会议还将为学生和年轻研究人员提供与高级研究人员进行强有力互动和联网的机会。因此，本次会议也将有助于为健康相关研究建立一个掌握统计和数据科学的多元化人力资本。会议的主题非常及时，特别是在当今的大数据时代。现在有大量各种生物和医学数据，并继续收集这些数据。从中收集的信息可以推动突破，不仅可以促进个性化医疗，还可以促进创新药物设计和循证医疗决策支持系统的进步，从而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。该会议将有助于促进开发更新和更好的工具，用于从大型，复杂和嘈杂的数据集中过滤有用的信息，为未来的进步铺平道路，从而改善医疗保健。有关会议的更多细节可以在www.example.com上找到https://sites.google.com/view/abgod2023/home.This奖项反映了NSF的法定使命，并被认为值得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来支持。

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.