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

Author:

Englezos Demetris,Voutouri Chrysovalantis,Stylianopoulos TriantafyllosORCID

Funder

European Research Council

Publisher

Elsevier BV

Reference41 articles.

1. Reengineering the physical microenvironment of tumors to improve drug delivery and efficacy: from mathematical modeling to bench to bedside;Stylianopoulos;Trends Cancer,2018

2. The role of mechanical forces in tumor growth and therapy;Jain;Annu. Rev. Biomed. Eng.,2014

3. The solid mechanics of cancer and strategies for improved therapy;Stylianopoulos;J. Biomech. Eng.,2017

4. Endothelin inhibition potentiates cancer immunotherapy revealing mechanical biomarkers predictive of response;Voutouri;Adv. Therap.,2021

5. Ultrasound stiffness and perfusion markers correlate with tumor volume responses to immunotherapy;Voutouri;Acta Biomater.,2023

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