Towards the Prediction of Drug Solubility in Binary Solvent Mixtures at Various Temperatures Using Machine Learning
Zeqing Bao,
Gary Tom,
Austin Cheng
et al.
Abstract:Drug solubility plays an important role in the drug development process. Traditional methods for measuring solubility involve saturating a solvent with the drug and determining the drug concentration thereafter. However, these techniques are tedious and challenging to employ when dealing with expensive drugs or those available in small quantities. To address this, researchers have begun to leverage machine learning (ML) as an alternative approach. ML offers a data-driven strategy that enables the training of m… Show more
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