An Enhanced Stacking Ensemble Method for Granule Moisture Prediction in Fluidized Bed Granulation

14. April 2022

Moisture is a crucial quality property for granules in fluidized bed granulation (FBG) and accurate prediction of the granule moisture...

Development of a potential anti-cancer pulmonary nanosystem consisted of chitosan-doped LeciPlex loaded with resveratrol using a machine learning method

18. March 2022

A novel self-assembled lecithin-based cationic nanocarrier (LeciPlex) doped with chitosan was prepared to improve Resveratrol solubility and anticancer efficacy. Using on a machine learning...

Machine Learning and Machine Vision Accelerate 3D Printed Orodispersible Film Development

22. December 2021

Orodispersible films (ODFs) are an attractive delivery system for a myriad of clinical applications and possess both large economical and...

Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm

11. December 2021

Lipid nanoparticle (LNP) is commonly used to deliver mRNA vaccines. Currently, LNP optimization primarily relies on screening ionizable lipids by...

Machine learning predicts the effect of food on orally administered medicines

7. December 2021

Food-mediated changes to drug absorption, termed the food effect, are hard to predict and can have significant implications for the...

Machine Learning Predicts Drug Metabolism and Bioaccumulation by Intestinal Microbiota

25. November 2021

Over 150 drugs are currently recognised as being susceptible to metabolism or bioaccumulation (together described as depletion) by gastrointestinal microorganisms;...

Use of machine learning in prediction of granule particle size distribution and tablet tensile strength in commercial pharmaceutical manufacturing

13. October 2021

In the manufacturing of pharmaceutical Oral Solid Dosage (OSD) forms, Particle Size Distribution (PSD) and Tensile Strength (TS) are common...

Design of Biopharmaceutical Formulations Accelerated by Machine Learning

12. October 2021

In addition to activity, successful biological drugs must exhibit a series of suitable developability properties, which depend on both protein...

Machine learning predicts 3D printing performance of over 900 drug delivery systems

13. September 2021

Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made...

Apparent degree of supersaturation (aDS) ratios achieved for the dataset in both sLBFCapmulMC and sLBFMaisineLC. No clear aDS trend was elucidated in terms of the glass-forming ability (GFA) classification (as grouped). Details and definitions of the abbreviations are given in the text.

Artificial Neural Networks to Predict the Apparent Degree of Supersaturation in Supersaturated Lipid-Based Formulations: A Pilot Study

9. September 2021

In response to the increasing application of machine learning (ML) across many facets of pharmaceutical development, this pilot study investigated...

Machine Learning