Keluo Yao

Over the past decade, digital pathology has advanced from an emerging adjunct technology to a clinically mature and increasingly integral platform across pathology laboratories in the United States. Regulatory clearance for primary diagnosis, continued innovation in whole slide imaging (WSI), the normalization of remote work, and rapid advances in artificial intelligence (AI) have together created strong momentum for adoption in both academic medical centers and community practices.

Abstract Cell type-specific gene expression from single-cell RNA sequencing (RNA-seq) is valuable for breast cancer precision oncology but available cohorts are still limited due to its high cost. Deconvolution methods infer cell type-specific expression from bulk RNA-seq at a lower cost, yet expenses and processing time of bulk RNA-seq are also non-negligible and limit their application too.

REVIEW Keluo Yao Corresponding Author E-mail address: Keluo.Yao@ucsf.edu Department of Pathology, University of California at San fransico, San Francisco, United States Corresponding Authors Keluo Yao, Department of Pathology, University of California at San Francisco E‐mail: Keluo.Yao@ucsf.edu Zaibo Li, Department of Pathology, Wexner Medical Center at The Ohio State University E‐mail: Zaibo.Li@osumc.edu Search for more papers by this author Zaibo Li Corresponding Author E-mail address:...