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2 papers
Recent·Most cited
C. Sun, R. Wang, L. Zhao, L. Han, S. Ma, D. Liang, L. Wang, X. Tuo, D. Zhong, Q. Li
This study develops an AI system to identify fetal nucleated red blood cells using deep learning, achieving high accuracy and sensitivity in testing.
bioRxiv · Mar 6, 2020 · PreprintPathology
Q. Wang, L. Zhao, L. Han, G. Fu, X. Tuo, S. Ma, Q. Li, Y. Wang, D. Liang, M. Tang, C. Sun, Q. Wang, Q. Song, Q. Li
This study compares bacterial composition and functional differences between cancerous and noncancerous ovarian tissues using 16S rRNA sequencing and metagenomic predictions.
bioRxiv · Feb 27, 2019Microbiology