[HTML][HTML] Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy

D Englezos, C Voutouri, T Stylianopoulos - Translational Oncology, 2024 - Elsevier
In the pursuit of advancing cancer therapy, this study explores the predictive power of
machine learning in analyzing tumor characteristics, specifically focusing on the effects of …

[HTML][HTML] Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy

D Englezos, C Voutouri, T Stylianopoulos - Translational Oncology, 2024 - ncbi.nlm.nih.gov
In the pursuit of advancing cancer therapy, this study explores the predictive power of
machine learning in analyzing tumor characteristics, specifically focusing on the effects of …

Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy.

D Englezos, C Voutouri, T Stylianopoulos - Translational Oncology, 2024 - europepmc.org
In the pursuit of advancing cancer therapy, this study explores the predictive power of
machine learning in analyzing tumor characteristics, specifically focusing on the effects of …

Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy

D Englezos, C Voutouri… - Translational oncology - pubmed.ncbi.nlm.nih.gov
In the pursuit of advancing cancer therapy, this study explores the predictive power of
machine learning in analyzing tumor characteristics, specifically focusing on the effects of …

Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy.

D Englezos, C Voutouri, T Stylianopoulos - Translational Oncology, 2024 - europepmc.org
In the pursuit of advancing cancer therapy, this study explores the predictive power of
machine learning in analyzing tumor characteristics, specifically focusing on the effects of …