Theoretical and Practical Principles on Nanoethics: A Narrative Review Article
Bibliographic record
Abstract
BACKGROUND: Interests in nanotechnology and its application in medical research, diagnosis, and treatment of diseases continuously grow. The study identified the theoretical and practical principles of ethics in developed countries' nanomedical research to be used as the first step of development of a national nanoethics standard or guideline in Iran and developing countries. METHODS: The present study was done between 2012-2016 in Ethics and Law Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran, which comprised a literature review and a comparative study to describe and compare the nanoethics situation and considerations of nanoethics in Australia, Canada, and USA. RESULTS: The main ethical considerations in the three countries contain two major categories, including firstly, the nature of nanoparticles such as its diversity, rapid development of new and not well-defined nanoproducts and particles and unpredictable side effects of such nanoparticles; and secondly, the application of developed nanoparticles in areas such as justice, privacy protection, patient-physician relations, etc. CONCLUSION: It is controversial to develop an independent nanoethics standard or codes; however, national priorities and concerns, as well as specific nanoethics considerations, should be investigated before deciding to create such standards in each country. Overall, careful considerations have to take into account the justice, privacy protection, the inherent risks of nanomaterials and their possible side effects on patients and other study subjects, as well as considering characteristics of new developed nanoproducts and particles.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".