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  1. Article

    Open Access

    Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models

    Mathematical modelling applied to preclinical, clinical, and public health research is critical for our understanding of a multitude of biological principles. Biology is fundamentally heterogeneous, and mathem...

    Justin Sheen, Lee Curtin, Stacey Finley, Anna Konstorum in Bulletin of Mathematical Biology (2024)

  2. No Access

    Chapter

    Fractal-Based Morphometrics of Glioblastoma

    Morphometrics have been able to distinguish important features of glioblastoma from magnetic resonance imaging (MRI). Using morphometrics computed on segmentations of various imaging abnormalities, we show tha...

    Lee Curtin in The Fractal Geometry of the Brain (2024)

  3. Article

    Open Access

    Integrated molecular and multiparametric MRI map** of high-grade glioma identifies regional biologic signatures

    Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis...

    Leland S. Hu, Fulvio D’Angelo, Taylor M. Weiskittel in Nature Communications (2023)

  4. Article

    Open Access

    Shape matters: morphological metrics of glioblastoma imaging abnormalities as biomarkers of prognosis

    Lacunarity, a quantitative morphological measure of how shapes fill space, and fractal dimension, a morphological measure of the complexity of pixel arrangement, have shown relationships with outcome across a ...

    Lee Curtin, Paula Whitmire, Haylye White, Kamila M. Bond in Scientific Reports (2021)

  5. No Access

    Article

    A Mechanistic Investigation into Ischemia-Driven Distal Recurrence of Glioblastoma

    Glioblastoma (GBM) is the most aggressive primary brain tumor with a short median survival. Tumor recurrence is a clinical expectation of this disease and usually occurs along the resection cavity wall. Howeve...

    Lee Curtin, Andrea Hawkins-Daarud, Alyx B. Porter in Bulletin of Mathematical Biology (2020)

  6. No Access

    Article

    Learning Equations from Biological Data with Limited Time Samples

    Equation learning methods present a promising tool to aid scientists in the modeling process for biological data. Previous equation learning studies have demonstrated that these methods can infer models from r...

    John T. Nardini, John H. Lagergren in Bulletin of Mathematical Biology (2020)

  7. Article

    Open Access

    Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

    Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences.

    Paula Whitmire, Cassandra R. Rickertsen, Andrea Hawkins-Daarud in BMC Cancer (2020)

  8. No Access

    Article

    Speed Switch in Glioblastoma Growth Rate due to Enhanced Hypoxia-Induced Migration

    We analyze the wave speed of the Proliferation Invasion Hypoxia Necrosis Angiogenesis (PIHNA) model that was previously created and applied to simulate the growth and spread of glioblastoma (GBM), a particular...

    Lee Curtin, Andrea Hawkins-Daarud in Bulletin of Mathematical Biology (2020)

  9. No Access

    Chapter and Conference Paper

    Sex Differences in Predicting Fluid Intelligence of Adolescent Brain from T1-Weighted MRIs

    Fluid intelligence (Gf) has been defined as the ability to reason and solve previously unseen problems. Links to Gf have been found in magnetic resonance imaging (MRI) sequences such as functional MRI and diff...

    Sara Ranjbar, Kyle W. Singleton, Lee Curtin in Adolescent Brain Cognitive Development Neu… (2019)