Abstract 171: A novel single-cell level approach integrating artificial intelligence (AI)-powered histomorphology labeling and spatial transcriptomics enables biomarker identification of treatment-resistance in salivary gland cancer (SGC)
Year: 2025
Type: conference-abstract
Source: Cancer Research
Authors: Jin Woo Oh, Sanghoon Song, Soohyun Hwang, Mingu Kang, Jinhee Lee, Sérgio Pereira, Hyunsu Kim, Sehhoon Park, Junhun Cho, Se-Hoon Lee, Han-Sin Jeong, Chang Ho Ahn, Siraj Ali, Chan-Young Ock, Myung-Ju Ahn
Institutions: Lunit (South Korea), Samsung Medical Center
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: closed
OpenAlex ID: W4409690675