AI-predicted spatial transcriptomics unlocks breast cancer biomarkers from pathology

Cell 2026 Open access

Read full text
Authors: Eldad D. Shulman, Emma M. Campagnolo, Roshan Lodha, Youngmin Chung, Amos Stemmer, Thomas Cantore, Beibei Ru, Tiangen Chang, Sumona Biswas, Saugato Rahman Dhruba, Sumeet Patiyal, Sushant Patkar
+22 more Andrew Wang, Ranjan K. Barman, Chuhan Wang, Rohit Paul, Sarath Chandra Kalisetty, Tom Hu, MacLean P. Nasrallah, Ellis Patrick, Jie Yang, Yuan Yuan, Karine Sargsyan, Amy Plotkin, Padma Sheila Rajagopal, Stephen-John Sammut, Stanley Lipkowitz, Peng Jiang, Carlos Caldas, Simon Knott, Kenneth Aldape, Joo Sang Lee, Danh-Tai Hoang, Eytan Ruppin
DOI: 10.1016/j.cell.2026.04.023
Cited by: 14
References: 60

Fields of Study & Subjects

Single-cell and spatial transcriptomics Ferroptosis and cancer prognosis Cancer Genomics and Diagnostics

Publication details

Journal / source
Cell
Publisher
Elsevier BV
Volume
189
Issue
14
Pages
4225–4240.e25
Publication date
8 May 2026
Language
EN