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...

Recent Development in Pharmaceutical 3D Printing: A Bird’s Eye Perspective

19. August 2021

Pharmaceutical product development is constantly witnessing advancements in the creation of novel delivery methods in order to enhance medication therapeutic...

Integrated in silico formulation design of self-emulsifying drug delivery systems

10. May 2021

The drug formulation design of self-emulsifying drug delivery systems (SEDDS) often requires numerous experiments, which are time- and money-consuming. This...

Machine Learning