Unlocking the potential of stimuli-responsive injectable hydrogels for bone healing applications
Bibliographic record
Abstract
Stimuli-responsive, or “smart”, injectable hydrogels respond to real-time stimuli through physical or chemical changes. This allows hydrogels to be dynamic within their environment in the presence of internal or external stimuli. Owing to this, smart injectable hydrogels have gained noticeable implications within the field of biomedicine. Over the past decade, stimuli-responsive injectable hydrogels have been extensively studied for wound healing and cancer therapies but remain largely unexplored for bone healing applications. In this mini-review, we aim to explore the role of smart injectable hydrogels and assess their current and future implications within the field of bone healing. Specifically, we discuss the physicochemical and biological aspects that must be taken into consideration when developing a material in this field, as well as the various strategies for designing such a material. Additionally, we discuss the current role of stimuli-responsive injectable hydrogels for an array of bone healing applications and their potential for successful clinical translation.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".