Li Fuhai, Liu Li, Wang Kai, Liu Xiaoming, Zhao Zhongming
Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University in St Louis, St Louis, MO 63108, USA.
Department of Pediatrics, Washington University in St Louis, St Louis, MO 63108, USA.
Comput Struct Biotechnol J. 2024 Nov 28;27:32-34. doi: 10.1016/j.csbj.2024.11.044. eCollection 2025.
In this editorial, we summarize the 2023 International Conference on Intelligent Biology and Medicine (ICIBM 2023) conference which was held on July 16-19, 2023 in Tampa, Florida, USA. We then briefly describe the nine research articles included in this special issue. ICIBM 2023 scientific program included four tutorials and workshops, four keynote lectures, four eminent scholars' presentations, 11 concurrent scientific sessions, and a poster session. We had total of 88 scientific oral presentations, including 62 regular oral presentations and 26 flash talks, as well as 46 poster presentations. The topics of these presentations covered artificial intelligence (AI), data sciences, bioinformatics, computational biology, genomics, biomedical informatics, among others. This special issue included nine peer reviewed manuscripts selected from those submitted to our conference. These articles cover a range of topics on the methods and applications of ML and AI models in the biomedical domain.
在这篇社论中，我们总结了于2023年7月16日至19日在美国佛罗里达州坦帕市举行的2023年国际智能生物学与医学会议（ICIBM 2023）。然后，我们简要介绍了本期特刊中包含的九篇研究文章。ICIBM 2023的科学议程包括四个教程和研讨会、四个主题演讲、四位杰出学者的报告、11个并行科学会议以及一个海报展示环节。我们总共进行了88场科学口头报告，包括62场常规口头报告和26场闪电演讲，以及46场海报展示。这些报告的主题涵盖人工智能（AI）、数据科学、生物信息学、计算生物学、基因组学、生物医学信息学等。本期特刊包括从提交至我们会议的稿件中选出的九篇经过同行评审的手稿。这些文章涵盖了机器学习和人工智能模型在生物医学领域的方法和应用等一系列主题。
