Cold atmospheric plasma as novel ‘drug’ for cancer therapy
Bibliographic record
Abstract
Plasma with low temperature generated at atmospheric pressure is known as cold atmospheric plasma (CAP). Owing to its unique characteristics and biological effects of inducing tumor cell death without endangering the surrounding healthy tissues, CAP is regarded as an emerging potent anticancer strategy and has been extensively investigated in preclinical research. In this review, we define the reactive species that play a major role in CAP as a novel “drug” (termed as plasma drug) used in cancer therapy. Various methods of plasma drug use in tumor treatment were summarized, mainly including plasma drug direct delivery, carriers for plasma drug, plasma drug synergistic immunotherapy, plasma drug in combination with nanoparticle therapy, plasma drug delivery with other anti-tumor drugs, and biomedical devices assisted plasma drug delivery. Furthermore, we provide prospective on the future development of plasma drug for cancer therapy. Plasma drug has the potential to evolve into a novel class of cancer therapy with continued technology improvements and multidisciplinary research efforts, providing patients with effective and individualized treatment alternatives (Scheme [1](#fig-cap-0001)).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".