智能生物学和医学：加速创新的计算方法。

IF 4.4 2区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Computational and structural biotechnology journal Pub Date : 2025-01-01 DOI:10.1016/j.csbj.2024.11.044

Fuhai Li, Li Liu, Kai Wang, Xiaoming Liu, Zhongming Zhao

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引用次数: 0

摘要

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，我们将简要介绍本期特刊中包含的九篇研究文章。ICIBM 2023科学项目包括4个辅导课和研讨会、4个主题演讲、4位知名学者的演讲、11个同步科学会议和一个海报会议。我们总共进行了88次科学口头报告，其中62次是定期口头报告，26次是快闪报告，还有46次是海报报告。这些演讲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。本期特刊收录了从提交给我们会议的稿件中选出的9篇经同行评议的稿件。这些文章涵盖了一系列关于ML和AI模型在生物医学领域的方法和应用的主题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Intelligent biology and medicine: Accelerating innovative computational approaches

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.

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来源期刊

Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics

CiteScore

9.30

自引率

3.30%

发文量

540

审稿时长

6 weeks

期刊介绍： Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology