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Startseite » Machine Learning
Abstract The development of dry powder inhalers (DPIs) for pulmonary drug delivery is complex, requiring optimization of variable factors to...
Abstract The transition from traditional batch to continuous pharmaceutical manufacturing puts additional demands on the efficient process development and operation....
Abstract Amorphous solid dispersions (ASDs) represent a promising formulation strategy for improving the solubility and bioavailability of poorly water-soluble drugs,...
Abstract Ribbon splitting, a phenomenon that can occur during the roller compaction operation used in dry granulation processes, can lead...
Abstract Background/Objectives: The integration of machine learning (ML) and artificial intelligence (AI) has revolutionized the pharmaceutical industry by improving drug...
Abstract The application of artificial neural networks (ANNs) has the potential to fundamentally change the pharmaceutical industry, making manufacturing more...
Lactose is recovered from whey through crystallization process, where a concentrated supersaturated solution is cooled to crystallize the lactose, leaving...
Abstract Formulation development of protein biopharmaceuticals has become increasingly challenging due to new modalities and higher desired drug substance concentrations....
1. Introduction Colon-targeted drug delivery presents a promising strategy to address the inefficacy and adverse effects associated with conventional oral...
Abstract Drug delivery systems efficiently and safely administer therapeutic agents to specific body sites. Liposomes, spherical vesicles made of phospholipid...
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