Chunyu Liu (Chair) , Zhongming Zhao (Co-chair) , Eric Gamazon (Discussant)
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Through a series of thought-provoking presentations, we will delve into the nuances of data integration, the intricacies of handling big data, and the critical aspects of ensuring research reproducibility and clinical applicability.</div><div>Dr. Chunyu Liu from the State University of New York (SUNY) Upstate Medical University will present a compelling discussion on the paramount importance of quality control in single-cell RNA-seq data. His presentation will underscore the necessity of stringent data evaluation and filtering protocols to bolster the precision of genomic analyses. 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His expertise will offer a strategic guide for navigating the complexities of big data, ensuring the robustness of research outcomes, and bridging the gap between scientific discoveries and their clinical translation.</div><div>Dr. Xing-Ming Zhao from Fudan University will conclude the symposium with an insightful examination of the challenges and strategies related to data integration in psychiatric disorder research. His work will emphasize the significance of synthesizing diverse data streams, such as clinical assessments, neuroimaging, and genetic information, to achieve a comprehensive view of neuropsychiatric conditions. 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引用次数: 0
摘要
随着技术的发展,神经精神疾病研究越来越依赖于数据驱动的方法来揭示人脑功能失常和神经精神疾病遗传风险的奥秘。本次研讨会汇聚了专家和利益相关者,就这一快速发展领域中的紧迫挑战和创新解决方案展开集中对话。通过一系列发人深省的演讲,我们将深入探讨数据整合的微妙之处、处理大数据的复杂性以及确保研究可重复性和临床适用性的关键方面。他的演讲将强调严格的数据评估和过滤协议对提高基因组分析精度的必要性。来自德克萨斯大学休斯顿健康科学中心(UTHealth Houston)的赵忠明博士将深入探讨用于整合 omics、遗传、神经影像和表型数据的前沿机器学习算法。他的演讲将围绕阐明阿尔茨海默病的分子机制和确定潜在治疗靶点展开。来自休斯顿UTHealth 的 Peter Kochunov 博士将探讨大规模群体成像基因研究中数据整合、可扩展性和可重复性等多方面的挑战。他的专业知识将为驾驭复杂的大数据、确保研究成果的稳健性以及弥合科学发现与临床转化之间的差距提供战略指导。来自复旦大学的赵兴明博士将以对精神疾病研究中与数据整合相关的挑战和策略的深入探讨结束本次研讨会。他的工作将强调综合不同数据流(如临床评估、神经影像学和遗传信息)以全面了解神经精神疾病的重要性。来自范德比尔特大学的 Eric Gamazon 博士将作为讨论者对发言进行总结,并就如何利用不同血统的大型生物库数据提出自己的见解。研讨会将把这些发言编织成一个连贯的叙事,在每个主题的基础上逐步展开,全面概述数据驱动的神经精神疾病研究目前面临的挑战和未来前景。本次研讨会将通过营造合作环境和激发创新思维来推动这一领域的发展。与会者将深刻了解神经精神疾病数据驱动研究中的关键问题。此外,他们还将获得多功能工具包,以提高研究水平,为推动神经精神科学的发展做出贡献。
CURRENT CHALLENGES AND OPPORTUNITIES IN DATA-DRIVEN APPROACHES IN NEUROPSYCHIATRIC DISORDERS
As the technological landscape evolves, neuropsychiatric research increasingly relies on data-driven methodologies to uncover the mysteries of the human brain malfunction and genetic risk in neuropsychiatric disorders. This symposium brings together experts and stakeholders for a focused dialogue on the pressing challenges and innovative solutions within this rapidly progressing domain. Through a series of thought-provoking presentations, we will delve into the nuances of data integration, the intricacies of handling big data, and the critical aspects of ensuring research reproducibility and clinical applicability.
Dr. Chunyu Liu from the State University of New York (SUNY) Upstate Medical University will present a compelling discussion on the paramount importance of quality control in single-cell RNA-seq data. His presentation will underscore the necessity of stringent data evaluation and filtering protocols to bolster the precision of genomic analyses. The talk will provide participants with a solid foundation on the principles of data quality, which is pivotal for the reproducibility and credibility of research findings.
Dr. Zhongming Zhao from the University of Texas Health Science Center at Houston (UTHealth Houston) will present an in-depth exploration of cutting-edge machine-learning algorithms for the integration of omics, genetic, neuroimaging, and phenotypic data. His session will be centered on the elucidation of Alzheimer's Disease's molecular mechanisms and the identification of potential therapeutic targets. This presentation will demonstrate the transformative power of data analytics in shaping the future of neuropsychiatric therapeutics.
Dr. Peter Kochunov from the UTHealth Houston, will tackle the multifaceted challenges of data integration, scalability, and reproducibility within the scope of large-scale population imaging genetic studies. His expertise will offer a strategic guide for navigating the complexities of big data, ensuring the robustness of research outcomes, and bridging the gap between scientific discoveries and their clinical translation.
Dr. Xing-Ming Zhao from Fudan University will conclude the symposium with an insightful examination of the challenges and strategies related to data integration in psychiatric disorder research. His work will emphasize the significance of synthesizing diverse data streams, such as clinical assessments, neuroimaging, and genetic information, to achieve a comprehensive view of neuropsychiatric conditions. This session will highlight the potential of integrated data approaches to surmount the obstacles faced in the field.
Dr. Eric Gamazon from Vanderbilt University will serve as the discussant to summarize the talks and offer his own insight into harnessing large biobank data of diverse ancestries.
The symposium will weave these presentations into a coherent narrative, progressively building upon each topic to provide a comprehensive overview of the current challenges and future prospects in data-driven neuropsychiatric research. This symposium will propel the field forward by fostering a collaborative environment and sparking innovative thinking. Participants will gain a profound understanding of the critical issues in data-driven research of neuropsychiatric disorders. In addition, they will also be equipped with versatile toolkits to enhance their research and contribute to advancing neuropsychiatric science.
期刊介绍:
European Neuropsychopharmacology is the official publication of the European College of Neuropsychopharmacology (ECNP). In accordance with the mission of the College, the journal focuses on clinical and basic science contributions that advance our understanding of brain function and human behaviour and enable translation into improved treatments and enhanced public health impact in psychiatry. Recent years have been characterized by exciting advances in basic knowledge and available experimental techniques in neuroscience and genomics. However, clinical translation of these findings has not been as rapid. The journal aims to narrow this gap by promoting findings that are expected to have a major impact on both our understanding of the biological bases of mental disorders and the development and improvement of treatments, ideally paving the way for prevention and recovery.