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融合:多组学与人工智能正在重塑生物医学研究格局。

Convergence: Multi-omics and AI are reshaping the landscape biomedical research.

作者信息

Vitorino Rui, Ghavami Saeid

机构信息

Department of Medical Sciences, Institute of Biomedicine-iBiMED, University of Aveiro, Campus Universitario de Santiago, Agra do Crasto, 3810-193 Aveiro, Portugal.

Department of Human Anatomy and Cell Science, University of Manitoba College of Medicine, Winnipeg, Manitoba, Canada; Paul Albrechtsen Research Institute, CancerCare Manitoba, University of Manitoba, Winnipeg, Manitoba, Canada; Akademia Śląska, Katowice, Poland; Children Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, Manitoba, Canada.

出版信息

Biochim Biophys Acta Mol Basis Dis. 2025 Aug 25:168027. doi: 10.1016/j.bbadis.2025.168027.

Abstract

This special volume of Biochimica et Biophysica Acta - Molecular Basis of Disease showcases a transformative era in biomedical research, driven by the convergence of multi-omics technologies, artificial intelligence (AI), and systems biology. The volume is focused across eight thematic sections-spanning cancer, inflammatory and infectious diseases, neurodegeneration, cardiovascular health, autophagy, respiratory disease, and heme biology-this volume highlights how integrative methodologies are helping to simplify the complexity of disease mechanisms. These studies discuss not only biomarker discovery and disease mechanisms, but also how redox biology, lipidomics, machine learning, and proteogenomics are redefining pathophysiological frameworks. From spatial omics in colorectal cancer to ferroptosis in asthma and sepsis, these contributions demonstrate the translational power of different network analysis and validations. Key challenges-including standardization, ethical integration of AI, and global infrastructure gaps-are also addressed as future imperatives. Together, the articles in this volume serve not just as a repository of high-impact findings, but as an example of the roadmap toward precision medicine where diagnostics, therapies, and prognoses are tailored to the molecular individuality of each patient. This collection establishes BBA - Molecular Basis of Disease as a leading platform for next-generation disease biology and personalized healthcare innovation.

摘要

《生物化学与生物物理学报 - 疾病的分子基础》这一特刊展示了生物医学研究中的一个变革时代,该时代由多组学技术、人工智能(AI)和系统生物学的融合所驱动。该特刊聚焦于八个主题领域,涵盖癌症、炎症与传染病、神经退行性疾病、心血管健康、自噬、呼吸系统疾病和血红素生物学,突出了整合方法如何有助于简化疾病机制的复杂性。这些研究不仅讨论了生物标志物的发现和疾病机制,还探讨了氧化还原生物学、脂质组学、机器学习和蛋白质基因组学如何重新定义病理生理框架。从结直肠癌的空间组学到哮喘和脓毒症中的铁死亡,这些贡献展示了不同网络分析和验证的转化能力。还将关键挑战,包括标准化、人工智能的伦理整合以及全球基础设施差距,作为未来的当务之急进行了探讨。总体而言,本卷中的文章不仅是高影响力研究成果的宝库,更是精准医学路线图的典范,在精准医学中,诊断、治疗和预后是根据每个患者的分子个体特征量身定制的。这一合集将《生物化学与生物物理学报 - 疾病的分子基础》确立为下一代疾病生物学和个性化医疗创新的领先平台。

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