从色谱分离到智慧医疗所涉及共同的数学物理本质:不可逆性

doi:10.3724/SP.J.1123.2018.12008

摘要/Abstract

摘要：

溶质带中的众多分子在固定相-流动相环境中的色谱分离过程能够类比成疾病高危人群在多种暴露因素的疾病严重程度排序。色谱过程和机器疾病诊断-医嘱的共性在于对成分或个体疾病状态的分离或分类，二者都表现出随时间演化的不可逆性，但前者属于线性非平衡热力学而后者属于耗散结构的非线性非平衡热力学。当将科学视野从药物检测和制备扩展到循证医学、离散数学（公理集合论、概率测度）、人工智能（AI）-云计算领域时，对流-扩散方程和非平衡热力学中的不可逆性就成了色谱分离和智慧医疗两个交叉领域的共同的、核心的数学物理本质。抓住不可逆性这一学科间的共性特征，构建和发展这两个领域统一的、全覆盖的数学构架，具有深远的科学和现实意义。

关键词: 不可逆性, 非平衡热力学, 非平衡热力学分离理论, 疾病状态, 人工智能, 数学构架, 循证医学, 综述

Abstract:

The chromatographic separation processes for many molecules in solute bands by stationary phase-mobile phase separation can be compared to ordering disease severity. The common features of chromatographic processes and machine-disease diagnosis-doctor's advice is the separation (classification) of components (individual disease states), both of which show irreversibility of time evolution; however, the former is caused by linear non-equilibrium thermodynamics and latter by nonlinear non-equilibrium thermodynamics (dissipative structure). When the scientific view is extended from drug detection and preparation to evidence-based medicine (EBM), discrete mathematics (axiomatic set theory and probability measure), and artificial intelligence (AI) cloud computing, the convection-diffusion equation and irreversibility in non-equilibrium thermodynamics form a common and core essence of mathematical physics that crosses fields of chromatographic separation and intelligent medicine. It is of profound scientific and practical significance to construct and develop a unified and all-encompassing mathematical framework by incorporating the generality and characteristics of the two subjects.

Key words: artificial intelligence (AI), disease states, evidence-based medicine (EBM), irreversibility, mathematical framework, nonequilibrium thermodynamic separation theory (NTST), nonequilibrium thermodynamics, review

中图分类号:

O658

梁恒, 罗元园. 从色谱分离到智慧医疗所涉及共同的数学物理本质:不可逆性[J]. 色谱, 2019, 37(4): 367-375.

LIANG Heng, LUO Yuanyuan. Common mathematical-physical essence involved from chromatographic separation to intelligent medicine: irreversibility[J]. Chinese Journal of Chromatography, 2019, 37(4): 367-375.

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