ReviewNanomaterials (Basel, Switzerland)2024
Computational Nanotoxicology Models for Environmental Risk Assessment of Engineered Nanomaterials.
Review in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Natural Products and Antimicrobial Nanoparticles Against Methicillin-ResistantPharmaceutics · 2026Review
- Lessons learned from allergen adsorption on engineered nanomaterials: bridging experimental insights and computational technologies.Nanomedicine (London, England) · 2026Review
- Application of 3D Cell Culture Techniques in Nanotoxicology: How Far Are We?Stem cell reviews and reports · 2026Review
- Nanopesticides by Design: A Review of Delivery Platforms, Environmental Fate, and Standards for Safe and Sustainable Crop Protection.Molecules (Basel, Switzerland) · 2026Review
- The Dual-Faceted Role of Metal-Based Nanomaterials in Hepatic Fibrosis Therapy.International journal of nanomedicine · 2026Review
- Recent Advances in Machine Learning Models for Predicting Toxicity of Inorganic Nanoparticles.Chem & bio engineering · 2025Review
- Green-Synthesized Nanomaterials for Water Disinfection: Mechanisms, Efficacy, and Environmental Safety.Nanomaterials (Basel, Switzerland) · 2025Review
- The nano-paradox: addressing nanotoxicity for sustainable agriculture, circular economy and SDGs.Journal of nanobiotechnology · 2025Review
- Nanotoxicology: developments and new insights.Nanomedicine (London, England) · 2025Review
- Advances in nanomedicine and delivery systems for gastric cancer research.Frontiers in bioengineering and biotechnology · 2025Review
- A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance.Experimental biology and medicine (Maywood, N.J.) · 2025Article
- Review
- Exploring research dynamics of PDT in anti-infective applications (2004-2024): a bibliometric perspective.Frontiers in pharmacology · 2025Article
- Crop management to enhance plant resilience to abiotic stress using nanotechnology: towards more efficient and sustainable agriculture.Frontiers in plant science · 2025Review
- A roadmap towards safe and sustainable by design nanotechnology: Implementation for nano-silver-based antimicrobial textile coatings production by ASINA project.Computational and structural biotechnology journal · 2024Article
- Emerging Trends in Nanomedicine: Carbon-Based Nanomaterials for Healthcare.Nanomaterials (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Although engineered nanomaterials (ENMs) have tremendous potential to generate technological benefits in numerous sectors, uncertainty on the risks of ENMs for human health and the environment may impede the advancement of novel materials. Traditionally, the risks of ENMs can be evaluated by experimental methods such as environmental field monitoring and animal-based toxicity testing. However, it is time-consuming, expensive, and impractical to evaluate the risk of the increasingly large number of ENMs with the experimental methods. On the contrary, with the advancement of artificial intelligence and machine learning, in silico methods have recently received more attention in the risk assessment of ENMs. This review discusses the key progress of computational nanotoxicology models for assessing the risks of ENMs, including material flow analysis models, multimedia environmental models, physiologically based toxicokinetics models, quantitative nanostructure-activity relationships, and meta-analysis. Several challenges are identified and a perspective is provided regarding how the challenges can be addressed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.