Work

A novel predictive model using changes in clinical and serum biomarkers and automated quantitative imaging for mCRPC patients treated with AR-directed therapy.

Year: 2025

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2025.43.5_suppl.264

Authors: Michael J. Morris, Jessica Flynn, Binsheng Zhao, Aseem Anand, Karl Sjöstrand, Steven M. Larson, Howard I. Scher, Ashley M. Regazzi, Gary V. Borzillo, Autumn Park, Lawrence Howard Schwartz, Glenn Heller

Institution: Memorial Sloan Kettering Cancer Center

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Foundation for the National Institutes of Health, National Institutes of Health

Award: Clinical Qualification of Imaging and Fluid-Based Tumor Monitoring Biomarkers for Metastatic Castration Resistant Prostate Cancer

OpenAlex ID: W4407699799

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