Pharmaceuticals | Precision Medicine Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine. July 7, 2024
Machine Learning | Pharmaceutical Sciences A comprehensive assessment of machine learning algorithms for enhanced characterization and prediction in orodispersible film development. May 5, 2024
Continuous Manufacturing | Pharmaceutical Sciences | Real-time Release Testing Machine learning modeling for ultrasonic quality attribute assessment of pharmaceutical tablets for continuous manufacturing and real-time release testing. March 27, 2024
Chemical Engineering | Pharmaceutical Sciences Implementation of near-infrared spectroscopy and convolutional neural networks for predicting particle size distribution in fluidized bed granulation. March 16, 2024
Computer Vision | Image Analysis | Industrial Emulsions Artificial intelligence and classic methods to segment and characterize spherical objects in micrographs of industrial emulsions. November 23, 2023
Chemical Engineering | Pharmaceutical Sciences Prediction of the Tensile Strength of Tablets Using LSTM Networks on Compression Profiles. July 30, 2023
Chemistry | Pharmaceutical Sciences Convolutional neural network-based evaluation of chemical maps obtained by fast Raman imaging for prediction of tablet dissolution profiles. May 31, 2023
Drug Delivery | Pharmaceutical Sciences A machine learning framework for predicting entrapment efficiency in niosomal particles. October 20, 2022
Machine Learning | Pharmaceutical Science The applications of Machine learning (ML) in designing dry powder for inhalation by using thin-film-freezing technology. September 29, 2022
Pharmaceuticals | Quality Control Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning. June 27, 2022
Materials Science | Neurology | Pharmaceutical Sciences Predicting drug release from diazepam FDM printed tablets using deep learning approach: influence of process parameters and tablet surface/volume ratio. March 26, 2021
Pharmaceutical Manufacturing | Process Engineering An application of deep learning to detect process upset during pharmaceutical manufacturing using passive acoustic emissions. February 15, 2019