Back to search

Article

Survival Rate Prediction in glioblastoma Patients Using Machine learning

2025-01-16

Abstract excerpt

<title>Abstract</title> <p>Glioblastoma, an aggressive form of brain cancer, continues to pose significant challenges, with median survival rates ranging from 12 to 18 months despite ongoing advances in treatment. Traditional survival prediction models predominantly rely on non-omic data, such as MRI, PET, and CT scans, which often lack the granularity to uncover molecular biomarkers crucial for guiding personali...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
eef0b829-4365-51f6-908f-765d2e4eddf4
DOI
10.21203/rs.3.rs-5765031/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Survival Rate Prediction in glioblastoma Patients Using Machine learningDOI 10.21203/rs.3.rs-5765031/v1
Select a neighboring publication to make it the new centre.