Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties. [PDF]
Sheikhshoaei AH, Sodeifian G.
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A Method for the Colorimetric Quantification of Sodium Lauryl Sulphate in Tablets: A Proof of Concept. [PDF]
Paulausks A, Mazurs A, Mohylyuk V.
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In Vivo and Computational Studies on Sitagliptin's Neuroprotective Role in Type 2 Diabetes Mellitus: Implications for Alzheimer's Disease. [PDF]
Mani V, Arfeen M.
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Exploring potential drug-drug interactions in discharge prescriptions: ChatGPT's effectiveness in assessing those interactions. [PDF]
Thapa RB, Karki S, Shrestha S.
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Investigation of the Effect of 70 Potential Interferents on Measurement Results of Two Blood Glucose Monitoring Systems. [PDF]
Baumstark A +10 more
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Synthesis and biological studies of 2-aminothiophene derivatives as positive allosteric modulators of glucagon-like peptide 1 receptor. [PDF]
Campbell JA +8 more
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Mesalazine solubility in supercritical carbon dioxide with and without cosolvent and modeling. [PDF]
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Cross-contamination during pharmaceutical drug manufacturing can result in expensive recalls. To counter that, companies spend significant time and resources to ensure equipment cleanliness, often relying on the compound solubility data in various solvents as the main indicator of cleaning success.
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