Variations in Gold Nanoparticle Size on DNA Damage: A Monte Carlo Study Based on a Multiple-Particle Model Using Electron Beams
Bibliographic record
Abstract
Research is currently focused on maximizing cancer cell death while minimizing harm to healthy cells. Gold nanoparticles (GNPs) have been extensively studied as a radiosensitizer to improve cancer cell death while sparing normal tissue. Previous research and simulations have demonstrated that the presence of a single GNP increases DNA damage and dose. In this study, a Monte Carlo simulation using the Geant4-DNA code was used to investigate the effects of multiple GNPs on DNA damage when exposed to electron beams with energies of 50, 100, 150, and 200 keV. The study examined DNA damage caused by 1–4 GNPs of the same total volume by analyzing both single- and double-strand breaks. The results indicate that increasing the number of GNPs and decreasing the electron beam energy increases the total number of strand breaks. Although DNA damage increased, the proportion of double-strand breaks remained unchanged in relation to the total number of strand breaks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".