Element constitution and distribution in tissues and body fluids have increasingly become key pieces of information in life sciences and medicine, and trace elements may be successfully used as disease biomarkers. Here, we review the most recent advances in inductively coupled plasma mass spectrometry (ICP-MS) and the related state-of-the-art instrumentation and methods (e.g. single-particle and single-cell determination capabilities) used to expand the application of trace element information to the study of diseases. Advanced statistical tools and machine learning used for evaluating, diagnosing, and treating different diseases has highlighted the importance of trace elements in clinical research. In this manuscript, we review recently published studies involving trace element analysis and machine learning applied to better understanding clinical conditions and pathologies, and discuss some perspectives for this field.

组织和体液中元素的组成和分布已日益成为生命科学和医学中的关键信息，微量元素可能已成功地用作疾病的生物标记。在这里，我们回顾了电感耦合等离子体质谱法（ICP-MS）的最新进展以及相关的最新仪器和方法（例如，单颗粒和单细胞测定功能），以扩大应用范围。微量元素信息以研究疾病。用于评估，诊断和治疗不同疾病的先进统计工具和机器学习突显了微量元素在临床研究中的重要性。在这份手稿中