在癌症生物医学中基于代理物的建模:校准和验证的应用程序和工具
Nicolò Cogno1,2, Cristian Axenie3, Roman Bauer4
1Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Cancer biology & therapy
|April 28, 2024
概括
计算模型通过模拟生物现象和整合数据来增强癌症研究. 本次审查侧重于通过模拟校准验证多尺度癌症模型,旨在提高生物医学中的可靠性和采用性.
科学领域:
- 计算生物学是一种计算生物学.
- 癌症研究 癌症研究
- 生物医学建模模型
背景情况:
- 计算模型为跨尺度的生物现象提供了预测能力.
- 基于代理的模型 (ABM) 对于模拟癌症和瘤与宿主相互作用是有价值的.
- 缺乏跨度验证阻碍了复杂的癌症模型的采用.
研究的目的:
- 审查验证多尺度癌症模型的策略.
- 专注于通过模拟校准进行验证.
- 概述ABM的现代验证方法.
主要方法:
- 关于癌症研究中的计算建模的文献综述.
- 专注于模拟校准用于模型验证.
- 巩固ABM的现代验证技术.
主要成果:
- 确定了在多尺度癌症模型中利用高准确度模拟的策略.
- 强调模拟校准对于模型验证的重要性.
- 概述了用于验证基于代理的模型的现代方法.
结论:
- 严格的校准对于可靠和可采用的多尺度癌症模型至关重要.
- 改进的验证方法将提高计算工具在癌症生物医学中的实用性.
- 未来的工作应该集中在开发和实施ABM的强大的校准技术.
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