Michael Eadon

According to our database, Michael Eadon authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Digital Pathology Images.

Harishwar Reddy Kasireddy, Patricio S. La Rosa, Akshita Gupta, Anindya S. Paul, Jamie L. Fermin, William L. Clapp, Meryl A. Waldman, Tarek M. El-Ashkar, Sanjay Jain, Luis Rodrigues, Kuang Yu Jen, Avi Z. Rosenberg, Michael T. Eadon, Jeffrey Hodgin, Pinaki Sarder

CoRR, March, 2026

2025

A trajectory-informed model for detecting drug-drug-host interaction from real-world data.

Yi Shi, Anna Sun, Hongmei Nan, Yuedi Yang, Jing Xu, Michael T. Eadon, Jing Su, Pengyue Zhang

J. Biomed. Informatics, 2025

Relation equivariant graph neural networks to explore the mosaic-like tissue architecture of kidney diseases on spatially resolved transcriptomics.

Mauminah Raina, Hao Cheng, Ricardo Melo Ferreira, Treyden Stansfield, Chandrima Modak, Ying-Hua Cheng, Hari Naga Sai Kiran Suryadevara, Dong Xu, Michael T. Eadon, Qin Ma, Juexin Wang

Bioinform., 2025

scBSP: a fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data.

Jinpu Li, Mauminah Raina, Yiqing Wang, Chunhui Xu, Li Su, Qi Guo, Ricardo Melo Ferreira, Michael T. Eadon, Qin Ma, Juexin Wang, Dong Xu

Bioinform., 2025

2024

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.

Zuotian Li, Xiang Liu, Ziyang Tang, Nanxin Jin, Pengyue Zhang, Michael Eadon, Qianqian Song, Yingjie Victor Chen, Jing Su

J. Am. Medical Informatics Assoc., 2024

Health disparities in the risk of severe acidosis: real-world evidence from the <i>All of Us</i> cohort.

Allison E. Gatz, Chenxi Xiong, Yao Chen, Shihui Jiang, Chi Mai Nguyen, Qianqian Song, Xiaochun Li, Pengyue Zhang, Michael Eadon, Jing Su

J. Am. Medical Informatics Assoc., 2024

TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.

Zuotian Li, Xiang Liu, Ziyang Tang, Pengyue Zhang, Nanxin Jin, Michael Eadon, Qianqian Song, Yingjie Chen, Jing Su

CoRR, 2024

2021

PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence.

Jing Su, Pengyue Zhang, Zuoyi Zhang, Michael Eadon, Xiaochun Li, Tian He, Stanley Taylor, Travis Johnson, Zhaorui Liu, Ziyang Tang, Baijian Yang, Qianqian Song, Kun Huang

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021