Article

Biologically-informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post-treatment glioblastoma

2022-12-20

Abstract excerpt

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 that is ambiguous to differentiate on clinical imaging. There is an urgent need to develop non-invasive approaches to map the heterogeneous landscape of hist...

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Literature Corpus work: 6b4023c1-82c3-51aa-b0b6-623bd0471bdd
DOI: 10.1101/2022.12.20.521086

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