Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression.

Marta Ligero Garazi Serna Omar S M El Nahhas Irene Sansano Siarhei Mauchanski Cristina Viaplana Julien Calderaro Rodrigo De Almeida Toledo Rodrigo Dienstmann Rami S Vanguri Jennifer L Sauter Francisco Sanchez-Vega Sohrab P Shah Santiago Ramón Y Cajal Elena Garralda Paolo G Nuciforo Raquel Perez-Lopez Jakob Nikolas Kather

Published in: Cancer research communications (2024)

The weakly supervised DL model to predict PD-L1 status from raw IHC data, integrating tumor staining intensity and morphology, enables enhanced patient stratification in cancer immunotherapy compared with traditional pathologist assessment.

Keyphrases

machine learning
deep learning
big data
artificial intelligence
case report
electronic health record
high intensity
convolutional neural network
flow cytometry