Work

Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

Year: 2023

Type: erratum

Abstract: “We thank the National Institutes of Health for funding through NCI U01CA142565, U01CA174706, U01CA253540, U24CA226110, R01CA240589, and R01CA260003, as well as NIH U24EB029240.”

Source: Scientific Reports

DOI: 10.1038/s41598-023-35324-z

Authors: Kalina P. Slavkova, Sahil H. Patel, Zachary Cacini, Anum S. Kazerouni, Andrea L. Gardner, Thomas E. Yankeelov, David A. Hormuth

Institutions: The University of Texas at Austin, Case Western Reserve University, University of Illinois Urbana-Champaign, University of Washington, The University of Texas MD Anderson Cancer Center

Language: English

Topic: Mathematical Biology Tumor Growth

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,390

Funders: National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant Therapy, Interoperable Software Platform for Reproducible Research and Clinical Translation of MRI, INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER, Systems Approaches to Understanding Subpopulation Heterogeneity in Therapeutic Resistance, Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast Cancer, Personalizing immunotherapy in HER2+ breast cancer through quantitative imaging, Imaging-based tumor forecasting to predict brain tumor progression and response to therapy

OpenAlex ID: W4377293264

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