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...
| Publicado en: | Cancers Vol. 16; no. 2; pp. 408 - 421 |
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| Autor principal: | |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
MDPI
Jan2024
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| Acceso en línea: | Ver este registro en EBSCOhost |