Editorial: Biomedical applications of water-soluble synthetic polymers
Bibliographic record
Abstract
Editorial on the Research Topic Biomedical applications of water-soluble synthetic polymersIn recent decades, the fusion of polymer science and biomedical research has led to groundbreaking advancements, opening up numerous opportunities to enhance human health and medical interventions.Within the realm of biomedical applications, water-soluble synthetic polymers have become essential tools, fundamentally transforming drug delivery systems, tissue engineering, diagnostics, regenerative medicine, and more.These polymers exhibit a distinctive set of attributes, including biocompatibility, adjustable degradation rates, controlled release mechanisms, and the capacity to encapsulate and safeguard delicate biomolecules.Such characteristics render them remarkably adaptable and ideally suited for a diverse array of therapeutic and diagnostic approaches.In this Research Topic, we have gathered a few original research articles which highlight the potential of water-soluble synthetic polymers in addressing critical biomedical challenges.Below is a brief summary of published papers in this Research Topic.Osteosarcoma is a long-term threat to human health, especially for children and adolescents.However, common clinical therapies have the disadvantages of severe side effects and poor prognosis.For example, different types of bone defects may exist after osteosarcoma resection.Therefore, effective treatment of osteosarcoma combining tumorremoving and bone regeneration is urgently required.Based on the thermal sensitivity of tumors, magnetic hyperthermia with mild side effects has received much attention from scholars.Shi et al. designed a 3D printable magnetic hydrogel composed of water-soluble polymer gelatin methacrylate (GelMA) and MeCFO (cobalt ferrite surface-functionalized with methacrylate groups) nanoparticles for osteosarcoma treatment.The MeCFO/GelMA hydrogel has high porosity and swelling ability, indicating that the hydrogel possesses sufficient space, good hydrophilicity, and good compatibility for normal cell growth.MeCFO at 50 μg/mL could not only decrease the cell activity of osteosarcoma cells, but also promote the osteogenic differentiation of bone marrow derived mesenchymal stem cells (BMSCs).Furthermore, the hydrogel with shear thinning property is suitable for serving as bioprinting ink to produce the desired structures using a 3D printer.Therefore, MeCFO/GelMA hydrogel with potential antitumor and bone reconstruction functions is a promising therapeutic strategy after osteosarcoma resection.
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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) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| 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 | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.026 | 0.022 |
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".