Kristin R Swanson
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Explore the profile of Kristin R Swanson including associated specialties, affiliations and a list of published articles.
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94
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2785
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Recent Articles
1.
Wang H, Argenziano M, Yoon H, Boyett D, Save A, Petridis P, et al.
NPJ Digit Med
. 2024 Oct;
7(1):292.
PMID: 39427044
Intratumoral heterogeneity poses a significant challenge to the diagnosis and treatment of recurrent glioblastoma. This study addresses the need for non-invasive approaches to map heterogeneous landscape of histopathological alterations throughout...
2.
Wang H, Argenziano M, Yoon H, Boyett D, Save A, Petridis P, et al.
Res Sq
. 2024 Apr;
PMID: 38585856
Intratumoral heterogeneity poses a significant challenge to the diagnosis and treatment of glioblastoma (GBM). This heterogeneity is further exacerbated during GBM recurrence, as treatment-induced reactive changes produce additional intratumoral heterogeneity...
3.
Lee J, Chung Y, Curtin L, Silver D, Hao Y, Li C, et al.
Res Sq
. 2024 Apr;
PMID: 38585839
Many cancers, including glioblastoma (GBM), have a male-biased sex difference in incidence and outcome. The underlying reasons for this sex bias are unclear but likely involve differences in tumor cell...
4.
Wang L, Wang H, DAngelo F, Curtin L, Sereduk C, Leon G, et al.
PLoS One
. 2024 Apr;
19(4):e0299267.
PMID: 38568950
Background And Objective: Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the...
5.
von Reppert M, Ramakrishnan D, Bruningk S, Memon F, Abi Fadel S, Maleki N, et al.
Neurooncol Adv
. 2024 Jan;
6(1):vdad172.
PMID: 38221978
Background: Although response in pediatric low-grade glioma (pLGG) includes volumetric assessment, more simplified 2D-based methods are often used in clinical trials. The study's purpose was to compare volumetric to 2D...
6.
Lewis E, Mao L, Wang L, Swanson K, Barajas R, Li J, et al.
medRxiv
. 2024 Jan;
PMID: 38168377
Magnetic resonance imaging (MRI) measurements are routinely collected during the treatment of high-grade gliomas (HGGs) to characterize tumor boundaries and guide surgical tumor resection. Using spatially matched MRI and transcriptomics...
7.
Urcuyo J, Curtin L, Langworthy J, Leon G, Anderies B, Singleton K, et al.
PLoS One
. 2023 Dec;
18(12):e0287767.
PMID: 38117803
Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet...
8.
Bond K, Curtin L, Ranjbar S, Afshari A, Hu L, Rubin J, et al.
Front Oncol
. 2023 Oct;
13:1185738.
PMID: 37849813
Imaging is central to the clinical surveillance of brain tumors yet it provides limited insight into a tumor's underlying biology. Machine learning and other mathematical modeling approaches can leverage paired...
9.
Hu L, DAngelo F, Weiskittel T, Caruso F, Fortin Ensign S, Blomquist M, et al.
Nat Commun
. 2023 Sep;
14(1):6066.
PMID: 37770427
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 of spatially matched molecular...
10.
Wang L, Hawkins-Daarud A, Swanson K, Hu L, Li J
IEEE Trans Autom Sci Eng
. 2023 Sep;
19(3):2203-2215.
PMID: 37700873
The automated capability of generating spatial prediction for a variable of interest is desirable in various science and engineering domains. Take Precision Medicine of cancer as an example, in which...