[HTML][HTML] Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images
Background Currently, only a fraction of patients with non-small cell lung cancer (NSCLC)
treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB) …
treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB) …
Combination strategies for immune-checkpoint blockade and response prediction by artificial intelligence
F Huemer, M Leisch, R Geisberger, T Melchardt… - International journal of …, 2020 - mdpi.com
The therapeutic concept of unleashing a pre-existing immune response against the tumor by
the application of immune-checkpoint inhibitors (ICI) has resulted in long-term survival in …
the application of immune-checkpoint inhibitors (ICI) has resulted in long-term survival in …
An automated computational image analysis pipeline for histological grading of cardiac allograft rejection
EG Peyster, S Arabyarmohammadi… - European heart …, 2021 - academic.oup.com
Aim Allograft rejection is a serious concern in heart transplant medicine. Though
endomyocardial biopsy with histological grading is the diagnostic standard for rejection …
endomyocardial biopsy with histological grading is the diagnostic standard for rejection …
Optimizing the peritumoral region size in radiomics analysis for sentinel lymph node status prediction in breast cancer
Rationale and Objectives Peritumoral features have been suggested to be useful in
improving the prediction performance of radiomic models. The aim of this study is to …
improving the prediction performance of radiomic models. The aim of this study is to …
What does radiomics do in PD‐L1 blockade therapy of NSCLC patients?
R Cui, Z Yang, L Liu - Thoracic Cancer, 2022 - Wiley Online Library
With the in‐depth understanding of programmed cell death 1 ligand 1 (PD‐L1) in non‐small
cell lung cancer (NSCLC), PD‐L1 has become a vital immunotherapy target and a …
cell lung cancer (NSCLC), PD‐L1 has become a vital immunotherapy target and a …
Prediction of immunotherapy response using deep learning of PET/CT images
Currently only a fraction of patients with non-small cell lung cancer (NSCLC) experience
durable clinical benefit (DCB) from immunotherapy, robust biomarkers to predict response …
durable clinical benefit (DCB) from immunotherapy, robust biomarkers to predict response …
MRI-based Biomarkers for Breast Cancer
J Ding - 2019 - search.proquest.com
Breast cancer, as the most commonly diagnosed cancer in women around the world, brings
significant burden to patients and society. Magnetic resonance imaging (MRI) has been …
significant burden to patients and society. Magnetic resonance imaging (MRI) has been …