ArticleScientific reports2022
A universal methodology for reliable predicting the non-steroidal anti-inflammatory drug solubility in supercritical carbon dioxide.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The trial behind it
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Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide.Frontiers in chemistry · 2026Article
- Alternative Techniques for Porous Microparticle Production: Electrospraying, Microfluidics, and Supercritical COPharmaceutical research · 2025Review
- Prediction of the packaging chemical migration into food and water by cutting-edge machine learning techniques.Scientific reports · 2025Article
- Application of machine learning approach to estimate the solubility of some solid drugs in supercritical COScientific reports · 2025Article
- Determination of 5-fluorouracil anticancer drug solubility in supercritical COScientific reports · 2025Article
- Solubility of gemcitabine (an anticancer drug) in supercritical carbon dioxide green solvent: Experimental measurement and thermodynamic modeling.Scientific reports · 2025Article
- Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study.Frontiers in big data · 2024Article
- Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine.Bioengineering (Basel, Switzerland) · 2023Review
- Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model.Pharmaceutics · 2022Article
- Solubility Optimization of Loxoprofen as a Nonsteroidal Anti-Inflammatory Drug: Statistical Modeling and Optimization.Molecules (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
8 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the drug solubility behavior is likely the first essential requirement for designing the supercritical technology for pharmaceutical processing. Therefore, this study utilizes different machine learning scenarios to simulate the solubility of twelve non-steroidal anti-inflammatory drugs (NSAIDs) in the supercritical carbon dioxide (SCCO
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.