Early cancer diagnosis plays a critical role in improving treatment outcomes and increasing
survival rates for certain cancers. NIR spectroscopy offers a rapid and cost-effective …

Neural network applications, as an emerging machine learning technology, are increasingly
being integrated into pharmaceutical manufacturing technologies, offering significant …

Data variations, library changes, and poorly tuned hyperparameters can cause failures in
data-driven modelling. In such scenarios, model drift, a gradual shift in model performance …

This study proposed a novel approach to automatically select the preprocessing methods
and hyperparameters of machine learning (ML) algorithms based on their best performance …

This study quantitatively measures the degree of crystal fragility using near-infrared
spectroscopy (NIR) with multivariate analysis to evaluate the formation of fine powder of …

In this editorial, we comment on the article by Wang and Long, published in a recent issue of
the World Journal of Clinical Cases. The article addresses the challenge of predicting …