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【11月26日開催】石井・石橋記念講座(拡張知能医学)公開セミナー「The Expanding Role of AI-Rich Biomedical Informatics in Supporting Biomedical Research and Advancing Healthcare」

2025年11月26日(水)18:00-19:00 CRIK信濃町コミュニティスペースにて
慶應義塾大学医学部 石井・石橋記念講座(拡張知能医学)主催 公開セミナーを開催します。
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石井・石橋記念講座(拡張知能医学)公開セミナーのご案内

日時:11月26日(水)18:00-19:00
場所:信濃町キャンパス2号館9階 CRIK信濃町コミュニティスペース
※現地開催のみ
※言語:英語
※参加費:無料
※事前登録制

講師:Prof. Hesham M. Ali, Ph.D.
Professor of Computer Science, Director of UNO Bioinformatics Core Facility, College of Information Science and Technology, University of Nebraska Omaha

演題:The Expanding Role of AI-Rich Biomedical Informatics in Supporting Biomedical Research and Advancing Healthcare

要旨:The last several years witnessed major advancements in the development of technologies with the goal of collecting various types of data in many application domains. The biomedical domain represents a clear example of such development, since every time the evolving biomedical technologies make it possible for bioscience researchers to have access to new type of biological data, exciting research questions attract new studies: Would it possible for the new data to provide new biological signals, signatures or biomarkers to be used for supporting biomedical research and advancing healthcare? Would the biological signals associated with the new data be robust enough to be used for the purpose of early disease diagnosis or the assessment of different treatments for certain health conditions? In this talk, we provide a brief introduction to biomarkers and how various technologies helped produce biomarkers with major impact on biomedical research and healthcare. We then discuss how recent technologies have made it possible to generate new types of data that can be used to obtain a new generation of biomarkers. We discuss biomarkers obtained from mobile wearable devices, microbiome data, and nanoparticles profiles. We discuss how the exciting new AI tools and network models can leverage the new biomarkers in supporting advanced biomedical research and lead to the next generation of healthcare.

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