疾病力诊断学
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1.西安交通大学生命科学与技术学院生物医学信息工程教育部重点实验室;2.西安交通大学生命科学与技术学院仿生工程与生物力学研究所;3.西安交通大学第二附属医院移植外科

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中央高校基本科研业务费(xtr052025009);陕西省卫健委卫生健康科研创新能力提升计划项目(2024TD-18)


Mechanodiagnosis: A Review of Force-Based Disease Diagnosis
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1.Ministry of Education Key Laboratory of Biomedical Information Engineering, School of Life Science and Technology, Xi′an Jiaotong University;2.Bioinspired Engineering and Biomechanics Center (BEBC), School of Life Science and Technology, Xi′an Jiaotong University。;3.Department of Transplantation, Second Affiliated Hospital of Xi′an Jiaotong University。

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    摘要:

    早在公元前,人类就已通过触诊、叩诊等方法利用人体力学信息进行疾病诊断,但长期以来对力与疾病关系的认知仅停留在直观经验,缺乏深层次的机制理解。近年来,随着生物力学和力生物学的快速发展,机械力在疾病发生发展中的作用机制逐渐被揭示,从而催生了一种基于力学信息的疾病诊断新范式—疾病力诊断学。疾病力诊断学聚焦于机械力在生物系统中的调控作用,以力学标志物的发现和精准力学检测技术为基础,致力于开发全新的疾病诊断方法。本文围绕跨尺度的生物力学特征和力生物学标志物,回顾了疾病力诊断学发展历程,系统总结了力学标志物和力诊断技术的研究进展,旨在为力学、生物学和医学等多学科交叉融合提供新的思路,推动理工医融合创新,助力医学领域实现新的突破。

    Abstract:

    Human beings have utilized mechanical cues for disease diagnosis since ancient times, with techniques such as palpation and percussion. However, the understanding of the relationship between mechanical force and disease remained primarily based on intuitive experience, lacking a comprehensive exploration of underlying mechanisms. In recent years, advancements in biomechanics and mechanobiology have shed light on the role of mechanical forces in disease development, leading to the emergence of a new diagnostic strategy—diseases mechanodiagnosis. By focusing on the regulatory effects of mechanical forces within biological systems, diseases mechanodiagnosis aims to develop innovative diagnostic methods based on the identification of mechanomarkers and the application of precise mechanical detection technologies. This review explores the evolution of mechanodiagnosis, highlighting its cross-scale biomechanical and mechanobiological characteristics, and systematically summarizes the progress in mechanomarker identification and mechanical force-based diagnostic techniques. This paper aims to promote interdisciplinary integration across mechanics, biology, and medicine, ultimately expected to accelerate breakthroughs in medical diagnosis.

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  • 收稿日期:2026-01-08
  • 最后修改日期:2026-02-11
  • 录用日期:2026-02-26
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