Emerging artificial intelligence (AI) technologies used in the development of solid dosage forms
Artificial Intelligence (AI)-based formulation development is a promising approach for
facilitating the drug product development process. AI is a versatile tool that contains multiple …
facilitating the drug product development process. AI is a versatile tool that contains multiple …
The artificial intelligence-powered new era in pharmaceutical research and development: A review
P Suriyaamporn, B Pamornpathomkul… - AAPS …, 2024 - Springer
Abstract Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL)
are gaining increased interest in many fields, particularly in pharmaceutical research and …
are gaining increased interest in many fields, particularly in pharmaceutical research and …
Application of ensemble machine learning approach to assess the factors affecting size and polydispersity index of liposomal nanoparticles
Liposome nanoparticles have emerged as promising drug delivery systems due to their
unique properties. Assessing particle size and polydispersity index (PDI) is critical for …
unique properties. Assessing particle size and polydispersity index (PDI) is critical for …
Progress on thin film freezing technology for dry powder inhalation formulations
The surface drying process is an important technology in the pharmaceutical, biomedical,
and food industries. The final stage of formulation development (ie, the drying process) faces …
and food industries. The final stage of formulation development (ie, the drying process) faces …
[HTML][HTML] The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion
Amorphous solid dispersion (ASD) is one of the most important strategies to improve the
solubility and dissolution rate of poorly water-soluble drugs. As a widely used technique to …
solubility and dissolution rate of poorly water-soluble drugs. As a widely used technique to …
Optimization of computational intelligence approach for the prediction of glutinous rice dehydration
BACKGROUND Five computational intelligence approaches, namely Gaussian process
regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees …
regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees …
A multi-step machine learning approach for accelerating QbD-based process development of protein spray drying
D Fiedler, E Fink, I Aigner, G Leitinger, W Keller… - International Journal of …, 2023 - Elsevier
This study proposes a new material-efficient multi-step machine learning (ML) approach for
the development of a design space (DS) for spray drying proteins. Typically, a DS is …
the development of a design space (DS) for spray drying proteins. Typically, a DS is …
Advances in Artificial Intelligence in Drug Delivery and Development: A Comprehensive Review
Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare
sector, including drug delivery and development. This review explores the current and future …
sector, including drug delivery and development. This review explores the current and future …
Sensitivity analysis and uncertainty quantification of nanoparticle deposition from tongue morphological variations
The human tongue has highly variable morphology. Its role in regulating respiratory flows
and deposition of inhaled aerosols remains unclear. The objective of this study was to …
and deposition of inhaled aerosols remains unclear. The objective of this study was to …
Unraveling the influence of solvent composition on Drop-on-Demand binder jet 3D printed tablets containing calcium sulfate hemihydrate
Recently, binder jet printed modular tablets were loaded with three anti-viral drugs via Drop
on Demand (DoD) technology where drug solutions prepared in ethanol showed faster …
on Demand (DoD) technology where drug solutions prepared in ethanol showed faster …