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

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作者： Demetris,Englezos ^[1] ; Chrysovalantis,Voutouri ^[2] ; Triantafyllos,Stylianopoulos ^[3]

作者单位： Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus. ^[1] Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus. Electronic address: cvouto01@ucy.ac.cy. ^[2] Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus. Electronic address: tstylian@ucy.ac.cy. ^[3]

关键词 Biomarkers Chemo-immunotherapy Precision oncology Shear wave elastography Ultrasound imaging

DOI 10.1016/j.tranon.2024.101944

PMID 38552284

发布时间 2024-04-19

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Translational oncology

2024年44卷

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

Translational oncology

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

Translational oncology

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Translational oncology

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