Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole‐Slide Histopathology Images: A Retrospective Multicenter Study (Adv. Sci. 10/2025)
Yuhan Liao, Xinhua Chen, Shupeng Hu, Bing Chen, Xinghua Zhuo, Hao Xu, Xiaojin Wu, Xiaofeng Zeng, Huimin Zeng, Donghui Zhang, Yunfei Zhi, Liang Zhao · Advanced Science · 2025
Gastric Cancer Diagnostics The frontispiece design centers on a Phoenix, symbolizing rebirth and transformation, reflecting HER2Net's groundbreaking impact on gastric cancer diagnostics. The pink and purple parts of the tail feathers reflect H&E pathological slide images, and the brown sections of the tail feathers symbolize HER2Net's capability to predict HER2 status based on these H&E image, showcasing its precision and integration of AI in medical technology. More details can be found in article number 2408451 by Liang Zhao and co-workers.