论文信息 - Abstract 5114: Ultra-sensitive detection of minimal residual disease (MRD) through whole genome sequencing (WGS) using an AI-based error suppression model in resected early-stage non-small cell lung cancer (NSCLC) - 字舞流文

Abstract 5114: Ultra-sensitive detection of minimal residual disease (MRD) through whole genome sequencing (WGS) using an AI-based error suppression model in resected early-stage non-small cell lung cancer (NSCLC)

Imane Bourzgui | A. Takano | E. Tan | Q. Ng | I. Tavassoly | R. Kanesvaran | K. Chua | A. Skanderup | M. Ang | W. Lim | Asaf Zviran | R. Veksler | Amit L. Jain | Sunil Deochand | B. Ong | A. Tan | R. Kandasamy | T. Koh | G. Lai | Boris Oklander | S. Saw | W. Tan | T. Rajasekaran | J. Rosenfeld | D. Maloney | D. Tan | Danielle Afterman | Tomer Lauterman | N. Friedman | Nidhi Ramaraj | Zohar Donenhirsh