Editorial: Industrialization and commercialization in tissue engineering and regenerative medicine: 2022/2023
Bibliographic record
Abstract
In brief, the first article entitled "Weakly acidic microenvironment of the wound bed boosting the efficacy of acidic fibroblast growth factor to promote skin regeneration." explores the effects of acidic fibroblast growth factor (aFGF) in a weakly acidic microenvironment for skin regeneration. It investigates the enhanced efficacy of aFGF under these conditions, which could have implications for improving skin regeneration techniques.The second article is titled "Antibacterial, injectable, and adhesive hydrogel promotes skin healing." It details the development of a novel hydrogel based on carboxymethyl chitosan (CMCS) and polyethylenimine (PEI), focusing on its physical properties, antibacterial abilities, and potential for wound healing applications. The study delves into the preparation, characterization, and in vitro/in vivo testing of the hydrogel, demonstrating its efficacy in promoting skin regeneration and its possible future use in medical applications.The third article, "Immune evaluation of granulocyte-macrophage colony stimulating factor loaded hierarchically 3D nanofiber scaffolds in a humanized mice model," focuses on the immune responses to biomaterials used in tissue regeneration. It examines the effectiveness of GM-CSF loaded 3D radially aligned nanofiber scaffolds in humanized mice models, revealing their potential in tissue regeneration by promoting cell migration and enhancing immune responses.The final article, titled "Market of tissue engineering in Canada from 2011 to 2020," presents a comprehensive market analysis of tissue engineering in Canada. It details the growth, trends, and potential of the tissue engineering industry, focusing on various segments like bioprinting, biomaterials, cells and biomaterials, and stem cells. The study emphasizes the significant growth of the industry in Canada, underscoring the contributions of various companies and their impact on healthcare, particularly in addressing infectious diseases and life-threatening disorders.The papers in this issue highlight key successes and learning points in TERM. For instance, the first paper demonstrates the critical role of pH in enhancing growth factors for skin regeneration, while the second features the creation of an innovative hydrogel system for wound healing. On the other hand, challenges faced in these studies, such as the complexities of immune responses to biomaterials discussed in the third paper, and the marketing barriers and segments outlined in the fourth, provide valuable lessons.These insights emphasize the importance of overcoming technical and commercialization challenges in TERM to achieve clinical and market success. The articles in this issue collectively underscore the rapid advancements in TERM. They emphasize the necessity of a multidisciplinary approach, blending scientific discovery with engineering innovation for effective clinical translation. This synergy is crucial in developing practical and impactful healthcare solutions. It underlines TERM's expansive potential, from laboratory research to commercialization, reinforcing its significance in modern medical science and industry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.004 | 0.002 |
| 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".