Tejas Patil: DeepPT predicts tumor mRNA expression from hematoxylin and eosin slides

Tejas Patil, Thoracic oncologist at University of Colorado Cancer Center, shared a paper by Danh-Tai Hoang et al. on X: 

“Delighted to have contributed the ALK dataset to this AI study in Nature.

DeepPT predicts tumor mRNA expression from H and E slides and ENLIGHT predicts response to targeted and immune therapies from the inferred expression values.”

Source: Tejas Patil/X

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

Authors: 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 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 and Eytan Ruppin.