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LUNAR: A Deep Learning Model to Predict Glioma Recurrence Using Integrated Genomic and Clinical Data

2024-10-24

Abstract excerpt

Gliomas account for approximately 25.5% of all primary brain and central nervous system tumors, with a striking 80.8% of these being malignant. The prognosis varies significantly; low-grade gliomas (LGGs) can exhibit 5-year survival rates of up to 80%, while higher-grade gliomas (HGGs) often see rates below 5%. Recurrence is a common challenge, occurring in 52%-62% of LGGs and 90% of HGGs, complicating clinical ma...

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Identifiers and source

Literature Corpus work
49f21148-a334-504b-b34c-f9e31685eb4f
DOI
10.1101/2024.10.23.619762
Open publication

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LUNAR: A Deep Learning Model to Predict Glioma Recurrence Using Integrated Genomic and Clinical DataDOI 10.1101/2024.10.23.619762
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