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.