A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics

作者：Danh-Tai Hoang, Gal Dinstag, Eldad D. Shulman, Leandro C. Hermida, Doreen S. Ben-Zvi, Efrat Elis, Katherine Caley, Stephen‐John Sammut, Sanju Sinha, Neelam Sinha, Christopher H. Dampier, Chani Stossel, Tejas Patil, Arun Rajan, Wiem Lassoued, Julius Strauss, Shania Bailey, Clint Allen, Jason M. Redman, Tuvik Beker, Peng Jiang, Talia Golan, Scott Wilkinson, Adam G. Sowalsky, Sharon R. Pine, Carlos Caldas, James L. Gulley, Kenneth Aldape, Ranit Aharonov, Eric A. Stone, Eytan Ruppin · 发表于：Nature Cancer · 年份：2024 · DOI：10.1038/s43018-024-00793-2 · 被引用次数：150 · 研究领域：AI in cancer detection、Cancer Genomics and Diagnostics、Cell Image Analysis Techniques