Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation
2026-06-29 • Computer Vision and Pattern Recognition
Computer Vision and Pattern Recognition
AI summaryⓘ
The authors present a new idea called AI Virtual Tissue (AIVT), which uses artificial intelligence to better understand how tissues in the body change and stay healthy. Traditional methods struggle to capture the complexity of tissues because tissues are organized in space and operate at different levels. AIVT can learn detailed and dynamic models of tissue states by using data that includes both location and multiple types of information. This approach helps predict features of tissues and simulate how they change over time in health and disease.
tissue homeostasispathological remodelingartificial intelligencemultimodal dataspatial modelingmolecular featuresmorphological featuresspatiotemporal dynamicscomputational modeling
Authors
Qiqi Lu, Qianjin Feng, Shaoqun Zeng, Shenghua Cheng
Abstract
Modeling tissue states and their transitions is essential for understanding tissue homeostasis in health and pathological remodeling in disease. However, conventional computational modeling approaches are inadequate to capture the complexity of tissues as spatially organized, multiscale biological systems. Artificial intelligence (AI) has shown a remarkable ability for representing intricate systems, creating new opportunities to characterize tissue states and their transitions. Here, we propose the concept of AI virtual tissue (AIVT), an AI framework grounded in spatial multimodal data for modeling tissues in health and disease. AIVT is designed to learn unified, spatially resolved, and dynamically manipulatable representations of tissue state, enabling tissue state representation and analysis, molecular and morphological feature prediction, and simulation of spatiotemporal tissue dynamics. We outline the fundamental assumptions, core capabilities, architectural components, as well as data and algorithm foundations of AIVT as a framework for AI-driven tissue modeling.