Artificial Intelligence Virtual Organoids (AIVOs)

doi:10.1016/j.bioactmat.2025.12.030

2026-05-01

Bai, Long

Jiacan Su *

DOI：10.1016/j.bioactmat.2025.12.030

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摘要

En 中文

类器官平台已重塑体外人类生物学，但仍受限于批次变异性、稀疏的长时程读出和规模化障碍。本文综述介绍了人工智能虚拟类器官（AIVOs），也称为硅基类器官：在计算空间中实例化的类器官规模数字孪生体，以虚拟细胞（必要时为虚拟类器官）作为最小可执行单元。AIVOs将多模态和长时程测量融合为通用状态表示，并使用受生物物理先验约束的虚拟仪器模拟实验和扰动，同时混合机制模块（基于代理、连续体、有限元）捕捉细胞-细胞、细胞-基质及传输动力学。本文定义了概念边界，形式化了数据-模型-交互架构及构建策略，并综合了评估与标准化实践。应用涵盖药物筛选与剂量设计、疾病亚型划分与耐药性图谱、与芯片类器官系统的集成以及临床决策支持。主要挑战包括高质量长时程数据的获取与协调、可扩展计算与模型降维、可解释性与因果推理，以及涉及隐私、安全与公平的治理。虚拟类器官最终提供了一个基于硅基、透明且可复现的桥梁，连接物理类器官与临床实践，实现高通量计算机实验和主动实验设计而无需额外实验负担，并加速精准治疗、机制发现和监管转化。

Keyword:

Artificial intelligence

Virtual organoids

Silicon organoids

Construction

Application

AI总结

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期刊

Bioactive Materials

IF:

20.3

论文数:

2.7K

被引数:

3.2W

机构

shanghai university

学者数:

3.9W

论文数: 2.7W

被引数: 52

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