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Updated: Aug 16, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Integrating supercomputing and artificial intelligence for life science
Jiahua Rao1, Shuangjia Zheng1,2, Yuedong Yang1,3
1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510000, China.
Abstract:
Jiahua Rao and Shuangjia Zheng are Ph.D. students in Prof. Yang's lab (Supercomputing And AI for Life science, SAIL Lab) at Sun Yat-sen University. They recently developed an interpretable framework to quantitatively assess the interpretability of Graph Neural Network (GNN) and made comparison with medicinal chemists. Their meaningful benchmarking and rigorous framework would greatly benefit development of new interpretable methods in GNNs.
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