Predicting Immunotherapy Outcomes in Glioblastoma Patients through Machine Learning.
Simple Summary: This scientific study focuses on glioblastoma, a highly aggressive cancer with a poor prognosis. Despite various treatment modalities, including immune checkpoint inhibitors (ICBs), the efficacy of ICBs remains limited, prompting the need for a proactive approach to understand treatm...
| Published in: | Cancers Vol. 16; no. 2; pp. 408 - 421 |
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| Format: | pictorial research tables/charts Journal Article |
| Published: |
MDPI
Jan2024
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| Online Access: | View this record in EBSCOhost |