Novel poly (diol-co-tricarballylate) biodegradable elastomers. What makes them excellent carriers for controlled drug delivery and tissue engineering applications?
Bibliographic record
Abstract
Abstract In the past decade, biodegradable elastomeric polymers have gained considerable attention due to the renewed interest in their applications in the fields of biomedical tissue engineering and implantable drug delivery systems. Elastomers can be regarded as one of the best biomaterials for such applications because their mechanical properties can be manipulated in a manner that makes them as soft as body tissues, they have the ability to recover and withstand the mechanical challenges upon implantation in a mobile part of the body and they have also proven to be well suited to drug controlled drug delivery applications. Our lab has recently reported on the successful preparation and characterization of a novel family of poly (diol-co-tricarballylate) elastomers, using visible light photo initiated polymerization. This new patented family of elastomers possess many structural, mechanical and physicochemical properties that make them superior to the currently available biodegradable elastomers. The purpose of this presentation is to shed light on the preparation, characterization and in vivo animal biocompatibility studies conducted on these new elastomers. In addition, a short illustration on their application in controlled drug delivery and tissue engineering and the current and future scope of work planned utilizing the latest Qatar National Research Fund – National Priorities Research Program 3rd cycle support received will also to be presented.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 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".