Longitudinal Phenotyping of Circulating Tumor Cells Using a Scalable Deep Learning Framework
Year: 2026
Type: article
Source: Clinical Cancer Research
Authors: Matthew L. Bootsma, Marina N. Sharifi, Jamie M. Sperger, Jennifer L. Schehr, William M. Stump, Hamza Bakhtiar, Matthew Mannino, Viridiana Carreno, Alex H. Chang, Charlotte Stahlfeld, Emily Abella, Muhammad Dar, Kaitlin Durnen, Hannah M. Krause, David Gallo, Amy K. Taylor, Petros Grivas, Pedro C. Barata, Nan Sethakorn, Ticiana A. Leal, Cristina I. Truica, Ruth M. O’Regan, Xiao X. Wei, William A. Hall, Hamid Emamekhoo, Christos E. Kyriakopoulos, David F. Jarrard, Anthony Serritella, Vincent T. Ma, Rana R. McKay, Kari B. Wisinski, Scott Tagawa, Scott M. Dehm, Joshua M. Lang, Shuang G. Zhao
Institutions: University of Wisconsin–Madison, University of Wisconsin Carbone Cancer Center, University of Washington, Fred Hutch Cancer Center, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center, Loyola University Chicago, Emory University, Winship Cancer Institute, Pennsylvania State University, University of Rochester Medicine, University of Rochester, Dana-Farber Cancer Institute, Medical College of Wisconsin, University of California San Diego, Moores Cancer Center, Weill Cornell Medicine, University of Minnesota, Masonic Cancer Center, The University of Texas MD Anderson Cancer Center, William S. Middleton Memorial Veterans Hospital
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: closed
Awards: MULTIOMIC ANALYSIS OF LIQUID BIOPSIES FOR BIOMARKER DISCOVERY AND THERAPEUTIC TARGETING, G1417760903, G3111741992, G4154995954, MULTIOMIC ANALYSIS OF LIQUID BIOPSIES FOR BIOMARKER DISCOVERY AND THERAPEUTIC TARGETING, LIQUID BIOMARKERS OF RESPONSE AND RESISTANCE TO 177LU-PSMA, INTERROGATING THE INTERSECTION OF PSMA AND PI3K PATHWAY SIGNALING AS A NOVEL TREATMENT APPROACH IN TREATMENT RESISTANT PROSTATE CANCER, The next generation of liquid biopsies: Predictive and pharmacologic biomarkers, G9000052212, G9000082691, G9000112022, G9000179864, The Molecular Drivers and Therapeutic Susceptibilities in Lineage State Transitions of Metastatic Prostate Cancer, Comprehensive Liquid Biomarkers to Personalize Therapy in Renal Cell Carcinoma
OpenAlex ID: W7203705369
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