Polysaccharide-Based Hydrogels for Advanced Biomedical Engineering Applications
Bibliographic record
Abstract
In recent years, numerous applications of hydrogels using polysaccharides have evolved, benefiting from their widespread availability, excellent biodegradability, biocompatibility, and nonpoisonous nature. These natural polymers are typically sourced from renewable materials or from manufacturing processes, contributing collaboratively to waste management and demonstrating the potential for enhanced and enduring sustainability. In the field of novel bioactive molecule carriers for biotherapeutics, natural polymers are attracting attention due to their inherent properties and adaptable chemical structures. These polymers offer versatile matrices with a range of architectures and mechanical properties, while retaining the bioactivity of incorporated biomolecules. However, conventional polysaccharide-based hydrogels suffer from inadequate mechanical toughness with large swelling properties, which prohibit their efficacy in real-world applications. This review offers insights into the latest advancements in the development of diverse polysaccharide-based hydrogels for biotherapeutic administrations, either standalone or in conjunction with other polymers or drug delivery systems, in the pharmaceutical and biomedical fields.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".