文章：

抗癌三维体外模型的演进：机器学习与人工智能在下一代无动物实验中的潜在作用

The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments

原文发布日期：19 February 2025

DOI: 10.3390/cancers17040700

类型: Article

开放获取: 是

英文摘要：

The development of anticancer therapies has increasingly relied on advanced 3D in vitro models, which more accurately mimic the tumor microenvironment compared to traditional 2D cultures. This review describes the evolution of these 3D models, highlighting significant advancements and their impact on cancer research. We discuss the integration of machine learning (ML) and artificial intelligence (AI) in enhancing the predictive power and efficiency of these models, potentially reducing the dependence on animal testing. ML and AI offer innovative approaches for analyzing complex data, optimizing experimental conditions, and predicting therapeutic outcomes with higher accuracy. By leveraging these technologies, the next generation of 3D in vitro models could revolutionize anticancer drug development, offering effective alternatives to animal experiments.

摘要翻译： 

抗癌疗法的发展日益依赖于先进的三维体外模型，这些模型相较于传统的二维培养体系能更精确地模拟肿瘤微环境。本文综述了三维模型的发展历程，重点探讨了其重要进展及其对癌症研究的影响。我们讨论了机器学习与人工智能技术在提升模型预测能力与效率方面的整合应用，这种整合有望降低对动物实验的依赖性。机器学习与人工智能为分析复杂数据、优化实验条件以及更精准预测治疗结果提供了创新方法。通过运用这些技术，新一代三维体外模型可能彻底改变抗癌药物研发模式，为动物实验提供有效的替代方案。

原文链接：

The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments