Machine Learning

Abstract Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex...

Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality...

Aim Develop a prototype machine vision system and evaluate feasibility of a deep learning-based image analysis approach for estimation of...

Aim Develop a machine vision system for in-line monitoring of high-shear granulation processes to provide a more reliable and continuous...

This study proposes a new material-efficient multi-step machine learning (ML) approach for the development of a design space (DS) for...

The purpose of this study is to demonstrate the usefulness of machine learning (ML) for analyzing a material attribute database...

Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility....

Understanding powder flow in the pharmaceutical industry facilitates the development of robust production routes and effective manufacturing processes. In pharmaceutical...

A new technological passage has emerged in the pharmaceutical field, concerning the management, application, and transfer of knowledge from humans...

The present study was aimed to the development and characterization of valsartan-containing buccal films with an introduction to a novel...