Using XGBoost fitted to digitized tumor-volume curves, the authors claim mNP-FDG controls tumor growth faster while SPIONs achieve elimination sooner, recommending a joint therapy.
Title resolution pending
1 Pith paper cite this work, alongside 50 external citations. Polarity classification is still indexing.
1
Pith paper citing it
50
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
q-bio.QM 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Hybrid Machine Learning and Mathematical Modeling for Tumor Dynamics Prediction: Comparing SPIONs against mNP-FDG
Using XGBoost fitted to digitized tumor-volume curves, the authors claim mNP-FDG controls tumor growth faster while SPIONs achieve elimination sooner, recommending a joint therapy.