J. Fukuoka

This study develops CNNs to subtype and grade lung adenocarcinoma, achieving high accuracy and outperforming most pathologists in grading prediction.

This paper develops an AI model for tumor cellularity evaluation in lung adenocarcinoma, validated through collaboration with pathologists to improve accuracy.

This study uses multi-region single-cell sequencing to map the spatial and cellular architecture of early-stage lung adenocarcinoma, revealing geospatial lineage evolution and potential therapeutic targets.