ArticleACS nano2025
Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-Informed Machine Learning.
Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Nanomaterial-Based Precision Drug Delivery for Advanced Nephrology Therapy: A Systematic Review.International journal of nanomedicine · 2026Pooled it
- From bench to bedside: Overcoming translational hurdles in nanoparticle research with pharmacokinetic modeling.Bioengineering & translational medicine · 2026Review
- Review
- Applications of synthetic biology in biomedicine.Molecular biomedicine · 2026Review
- Analysis of Pharmacokinetic-Pharmacodynamic Relationships of Nanoparticles against Tumors.ACS nano · 2026Article
- Nanomaterial toxicity and risk assessment integrating functionalization strategies advanced in vitro models and regulatory perspectives.Discover nano · 2026Review
- Engineering smart polymeric lipid nanoparticles for breast cancer: AI-guided formulation design, biological barriers, and translational constraints.Journal of nanobiotechnology · 2026Review
- Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.Discover nano · 2026Review
- AI-driven nanomedicine for cancer theranostics.Molecular cancer · 2026Review
- A reflection on "Intriguing aspects of lanthanide luminescence".Chemical science · 2026Article
- Toxicodynamics and Human Health Risks of Metal Nanoparticles: A Review of AI/ML-Based Predictive Nanotoxicology.International journal of nanomedicine · 2026Review
- A Systematic Review of Advanced Drug Delivery Systems: Engineering Strategies, Barrier Penetration, and Clinical Progress (2016-April 2025).Pharmaceutics · 2025Review
- Rational design of immunogenic nanoparticles as a platform to reduce ovarian tumor burden in mice.International journal of pharmaceutics · 2025Article
- Green carbon dots in the era of AI: sustainable synthesis, intelligent drug delivery, advanced diagnostics, and bioimaging.Turkish journal of biology = Turk biyoloji dergisi · 2025Review
Corrections and comments
- Update of
Authors and funding
14 authors.
Funding
Abstract
The safety of inorganic nanoparticles (NPs) remains a critical challenge for their clinical translation. To address this, we developed a machine learning (ML) framework that predicts NP toxicity both
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.