This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod+10 more
wiley +1 more source
Community pharmacists' perceptions of a hospital based virtual clinical pharmacy service: Findings from qualitative research. [PDF]
Bucknell L+3 more
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour+5 more
wiley +1 more source
Overview of online pharmacy regulations in Saudi Arabia and the Gulf cooperation council countries and their impact on online pharmacy service providers in Saudi Arabia: a qualitative analysis. [PDF]
Alfageh BH+3 more
europepmc +1 more source
A stepped wedge trial of efficacy and scalability of a virtual clinical pharmacy service (VCPS) in rural and remote NSW health facilities. [PDF]
Allan J+8 more
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
General medical and pharmacy claims expenditures in users of behavioral health services
Roger G. Kathol+8 more
openalex +2 more sources
Tele-pharmacy in remote medical practice: the Royal Flying Doctor Service Medical Chest Program [PDF]
Stephen A Margolis, Valmae Ypinazar
openalex +1 more source
Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning
A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari+2 more
wiley +1 more source