Rethinking Nanosafety: Harnessing Progress and Driving Innovation
Bibliographic record
Abstract
This Special Issue brings together the best thought leaders in the field of nanosafety to inform, guide and direct the current and future directions of nanosafety research for the better ment of human and environmental health.Nanotechnology has long been recognized as an enabling technology underpinning advances across all industrial, governmental and societal sec tors, and as such, the need to ensure that these technologies and their applications are safe is paramount.Indeed, worldwide a significant fraction of the total investment in nanotechnology has been focused on safety aspects, considering occupational exposure and consumer safety as priority areas.Since nano materials operate on the same sizescale and speed as biology, and can harness the proteins and other biomolecules used in nature to provide cellular structure and function by binding them to their surfaces and utilizing them to effectively engage with cellular receptors, nanomaterials have unprecedented access to living systems, offering the potential to cross biological barriers, to target specific cells and to deliver cargo to specific organelles.Indeed, this is the promise of nano medicine, although the precision with which we can produce and functionalize nanomaterials is not yet nearly as refined as that of nature's tightly regulated signaling systems.However, as we explore nanomaterials interactions with living systems, to map and quantify the changes at cellular, tissue, organism and population levels, we are learning an enormous amount about how biology functions, as well as how nanomaterials function.Thus, nanosafety, rather than being just a necessary aspect of nanomaterials development and application, and a cornerstone of regulation, is a flourishing, innovative and exciting area of research, leveraging developments in chemoinformatics, systems toxicology and small molecule chemistry, and mixing them up with advances in analytical approaches, to produce exciting innovations.Nanosafety researchers are pioneering the development of advanced cell and tissue models and pushing forward our understanding of adverse outcome pathways and how they can be developed and validated, thereby accelerating www.advancedsciencenews.com
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.016 | 0.022 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.016 | 0.007 |
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".