Editorial: Responsive biomaterials for controlled release and cancer theranostics
Bibliographic record
Abstract
Editorial on the Research Topic Responsive biomaterials for controlled release and cancer theranosticsNowadays, cancer has become a major public health problem worldwide.Responsive biomaterials undergo changes specifically in response to specific environmental induction, providing potential clinical applications for controlled release, cancer therapeutics diagnostics and personalized medicine.The microenvironment of tumor site is significantly different from that of normal site, such as higher temperature, lower pH value or secretion of certain specific enzymes.Recently, a great quantity of stimuliresponsive biomaterials have been engineered for biomedical applications using different environment stimulus, which could be chemicals such as pH, glucose, enzymes, or physicals such as ultrasound, light, temperature, radiation, or their combinations.In this Research Topic, we consisted of 10 articles, including six articles, two review articles and two mini reviews, contributed by 67 researchers worldwide.The original research articles involved multiple delivery systems: nanohybrid hydrogels, nanoemulsions, microcapsules and other nanoparticles or nanosheets.These nanosystems were rationally designed and synthesized of novel responsive nanomaterials for controlled release and cancer theranostics or other disease treatments, providing enormous references for their clinical applications.There are two review articles on this Research Topic.In a review article, Ding et al. provided a systematic summary of photothermal nano hydrogels and discussed their biomedical applications.They noted that the preparation of photothermal nanohydrogels should focus on the photothermal nanomaterials, and summarized the most commonly used photothermal agents including nanomaterials made of metal, carbon based, metal sulfide/ oxide, polymer, black phosphorus, MXenes, organic dye and other composite nanomaterials.The authors highlighted the applications of photothermal nanocomposite hydrogel in drug release, photothermal anti-bacterial and wound repair, photothermal inhibition of cancer, bone tissue regeneration, and other aspects such as hydrogel eye piece or electric response hydrogel.In another review article, Qian et al. summarized the advantages and disadvantages of several widely used nanomaterials including mesoporous silica nanoparticles (MSNs),
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.029 | 0.020 |
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 source (direct Gemma or distilled Codex), 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".