ArticleScientific reports2023
A machine learning approach for thermodynamic modeling of the statically measured solubility of nilotinib hydrochloride monohydrate (anti-cancer drug) in supercritical CO
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 43 citations in OpenAlex.
- Determination of the Florfenicol drug solubility in supercritical COScientific reports · 2026Article
- Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties.Scientific reports · 2025Article
- Application of machine learning approach to estimate the solubility of some solid drugs in supercritical COScientific reports · 2025Article
- Mesalazine solubility in supercritical carbon dioxide with and without cosolvent and modeling.Scientific reports · 2025Article
- Article
- Determination of morphine sulfate anti-pain drug solubility in supercritical COScientific reports · 2024Article
- Determination of Regorafenib monohydrate (colorectal anticancer drug) solubility in supercritical COHeliyon · 2024Article
- Extraction Process Optimization of Curcumin fromACS omega · 2024Article
- Simulation and Optimization: A New Direction in Supercritical Technology Based Nanomedicine.Bioengineering (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nilotinib hydrochloride monohydrate (NHM) is an anti-cancer drug whose solubility was statically determined in supercritical carbon dioxide (SC-CO
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Registered trials
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