Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent

Research article (Journal of Molecular Liquids, 2024) · cited 18× · AI/ML
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Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent

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Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-intelligence-aided-pharmaceutical-engineering-development-of-hybrid-machine-learning-models-for-prediction-of
MLA “Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-intelligence-aided-pharmaceutical-engineering-development-of-hybrid-machine-learning-models-for-prediction-of.
BibTeX @misc{4ortxyz_artificial-intelligence-aided-pharmaceutical-engineering-development-of-hybrid-machine-learning-models-for-prediction-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-intelligence-aided-pharmaceutical-engineering-development-of-hybrid-machine-learning-models-for-prediction-of}, note = {Accessed: 2026-05-24}}
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