一个深度神经网络模型,通过数据增强优化传统中医药处方
Xiaohan Mao1,2, Zhipeng Ke1,2, Jing Liu1,2
1State Key Laboratory of Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture, Jiangsu Kanion Pharmaceutical Co., Ltd. & Nainjing University of Chinese Medicine, Nanjing, China.
British journal of pharmacology
|December 28, 2025
概括
本研究介绍了DA-TCMPO,这是一个用于优化传统中医 (TCM) 处方的深度学习框架. 该模型有效地解决了数据噪声和处方修改风险,在性结肠炎模型中显示了显著的准确性和实际有效性的改进.
科学领域:
- 人工智能在医学中的应用
- 计算药理学计算药理学
- 传统中医研究 传统中医研究
背景情况:
- 传统中医药 (TCM) 处方优化面临着数据杂和过度修改的挑战.
- 现有的临床决策支持系统不足以解决TCM中的这些关键问题.
研究的目的:
- 开发一个深度学习框架,DA-TCMPO,用于优化TCM处方.
- 解决数据噪声问题,并尽量减少TCM处方修改带来的风险.
主要方法:
- 拟议的DA-TCMPO框架使用量身定制的数据增强技术.
- 纳入了基于双重注意力 (DAD) 的扩散模型,用于样本多样性和可变噪声嵌入模块 (VNE) 进行无声化.
- 开发了用于模型培训的中国疾病草药处方 (CH) 数据集.
主要成果:
- 在CH数据集上,DA-TCMPO显著优于基线模型,精度,准确性,回忆和F1得分分别提高了67.8%,83.3%,83.3%和83.6%.
- 在Ulcerative Colitis (UC) 鼠标模型中的体内验证显示,DA-TCMPO优化的处方 (例如,CYKKL-2) 显著改善了关键健康指标.
- 在临床前模型中证明了优化TCM处方的实际有效性.
结论:
- DA-TCMPO在增强TCM的诊断和治疗决策方面表现有前途.
- 该框架为优化临床实践中TCM处方提供了一个可行的解决方案.
- 强调深度学习和数据增强在推进中医药研究方面的潜力.
相关概念视频
01:12Analysis of Population Pharmacokinetic Data
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
01:14Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
01:14Model Approaches for Pharmacokinetic Data: Compartment Models
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...
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01:26Pharmacokinetic Models: Comparison and Selection Criterion
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.