A Transformer-Based Deep Learning Model for Prediction of Temozolomide Resistance in Glioblastoma Using Pretreatment MRI Images.
Machine learning models may help predict temozolomide resistance in glioblastoma, enabling earlier adjustment of treatment strategies.
Glioblastoma (GBM) is a lethal tumor where temozolomide (TMZ) chemotherapy often faces resistance. The record is retained for conservative triage based on its relevance and observational cohort study.
What the study was
- Study design
- Observational cohort study
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Acad Radiol
Why it surfaced
Retained as a observational cohort study relevant to AI/ML in clinical diagnostics and imaging; scoring is conservative from PubMed metadata and abstract only.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.