Machine Learning

Abstract Polyethylene glycol (PEG) excipients, commonly used in ointment bases, significantly impact formulation properties based on their molecular weights and...

Abstract The prediction of tablet dissolution from in-process data remains a key challenge in pharmaceutical manufacturing, as in vitro dissolution...

Artificial intelligence is progressively entering pharmaceutical formulation workflows, particularly in areas such as compatibility screening, dissolution profile prediction, formulation optimization...

Abstract Functional excipients are increasingly recognized as active components in drug formulations because they can influence drug stability, solubility, release...

AI in pharmaceutical drug product design is, in 2026, a decision-support technology, not autonomous formulation. The most mature tools combine...

Abstract Oral dosage form development still relies heavily on empirical trial-and-error, while the high prevalence of poorly soluble drug candidates...

Abstract The rapid development of artificial intelligence (AI) and the increasing demand for the modernization of Chinese herbal medicine (CHM)...

Abstract Pharmaceutical formulations comprise active pharmaceutical ingredients (APIs) and excipients, the latter of which can significantly influence drug stability. Compatibility...

Abstract Background Fast-disintegrating tablets (FDTs) are widely used oral dosage forms in which disintegration time is a critical quality attribute...

Abstract Background/Objectives: Tablet development requires simultaneous optimization of multiple quality attributes under limited experimental budgets, yet formulation–property relationships are highly nonlinear...