The Clinnical Hopital of Chengdu Brain Science Institue, MOE Key Lab for Neuroinfomation, University of Electronic Science and Technology of China (UESTC), China.
School of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu 610059, China.
Comput Biol Med. 2024 Sep;180:109008. doi: 10.1016/j.compbiomed.2024.109008. Epub 2024 Aug 14.
This study aims to address the challenge of selecting optimal drug delivery strategies for tumor patients by introducing a novel theoretical framework.
We propose a fuzzy logic-based framework for quantitatively assessing Health States (HS) in tumor patients. This framework integrates quantified HS assessments with causality strength analyses, offering a comprehensive understanding of various drug delivery schemes' effectiveness from pharmacokinetic and pharmacodynamic perspectives.
The efficacy of our approach is demonstrated through a series of real-world patient case studies, highlighting its potential to enhance the evaluation and selection of targeted drug delivery strategies.
Our work contributes to the field by showcasing practical applications of fuzzy logic in targeted drug delivery systems (TDDs) and establishing a new benchmark for precision in drug delivery strategy selection.
This study has significant implications for developing personalized medical treatments, potentially revolutionizing the field with a more nuanced and scientifically rigorous method for evaluating and selecting drug delivery protocols.
Development of a fuzzy logic framework for precise quantification of health states in tumor patients. Innovative integration of a causal system for comprehensively evaluating targeted drug delivery strategies.
本研究旨在通过引入一种新的理论框架来解决肿瘤患者选择最佳药物输送策略的挑战。
我们提出了一种基于模糊逻辑的框架，用于定量评估肿瘤患者的健康状况（HS）。该框架将量化的 HS 评估与因果关系强度分析相结合，从药代动力学和药效学的角度全面了解各种药物输送方案的有效性。
通过一系列真实患者病例研究证明了我们方法的有效性，突出了其增强靶向药物输送策略评估和选择的潜力。
我们的工作通过展示模糊逻辑在靶向药物输送系统（TDD）中的实际应用，并为药物输送策略选择的精确性建立了新的基准，为该领域做出了贡献。
这项研究对开发个性化医疗具有重要意义，可能会通过更细致和科学严谨的方法来评估和选择药物输送方案，从而彻底改变该领域。
开发了一种用于精确量化肿瘤患者健康状况的模糊逻辑框架。创新性地整合了因果系统，用于全面评估靶向药物输送策略。
