Artificial Intelligence‐Enabled Quantitative Assessment and Intervention for Heart Inflammation Model Organoids
Hongrui Lin, Junjie Cheng, Chuanwei Zhu, Zhiwen Yang, Qi Shen, Yafeng Zou, Yiming Huang, Fengting Lv, Haotian Bai, Shu Wang
Abstract
Inflammation plays a crucial role in progression of cardiovascular diseases (CVDs); thus, the discovery of rapid and precise analytical tools to assess inflammation related to CVDs is highly desirable for their diagnosis and therapeutic discovery. However, a straightforward and systematic method for quantitative assessment of inflammation levels in heart organoids has yet to be developed. Herein, we describe the construction of human heart inflammatory organoids with intricate structures and diverse cell lineages and the development of an artificial intelligence (AI)-enabled method for quantitative assessment of inflammation levels in this model. Furthermore, we devised a novel therapeutic strategy to boost endogenous energy molecule production in heart inflammatory organoids to address energy metabolic disorders. This research provides a convenient method for quantitative inflammation evaluation and offers a promising tool for drug discovery.