The potential of using exosomes in modern medicine
Bibliographic record
Abstract
Introduction and purpose of the work: The purpose of this article is to determine the potential for the application of exosomes in modern medicine, inferring from research directions in world literature. Among other things, this paper considers some of the most recent work in the fields of aesthetic medicine, dermatology and transplantation. Methodology and materials: The search was conducted using PubMed, Google Scholarship, Scopus and Web of Science databases. The search strategy was based on the following terms: exosomes, regenerative medicine, dermatology. The variety of available scientific works on exosomes raises the question in which of the fields of medicine they will be used the fastest and/or most commonly. Given that a significant part of research focuses on their use in skin treatments, it can be expected that it will be dermatology and/or aesthetic medicine, given its exceptional openness to the implementation of new techniques and the constant search for new solutions that allow physiologically or optically to oppose aging. In addition, the use of exosomes is characterized by a relatively low risk of life-threatening complications or permanent damage to health. However, the potential applications of exosomes in other fields of medicine should not be underestimated. Therefore, it can be expected that procedures and therapies using exosomes will also be developed and implemented independently in transplantology, cardiology, or other fields that can use exosomes as drug carriers or markers for early detection of complications or diseases.
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".