AIMC Topic: Drug Liberation

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Green nanofiber biocomposites for drug delivery: A sustainable approach to advanced pharmaceutical systems.

International journal of pharmaceutics
The advancement of sustainable and biocompatible materials has opened new avenues in drug delivery systems, especially through the integration of plant-based nanofiber biocomposites. These materials, derived from renewable sources such as cellulose, ...

3D-printed chitosan-starch mesh filled with minocycline-alginate hydrogel for dual anti-Staphylococcus aureus and osteogenic effects.

Carbohydrate polymers
Bone infections, particularly those caused by Staphylococcus aureus, pose clinical challenges due to biofilm formation and association with bone loss. To address this, we developed a three-dimensional (3D) printed hydrogel-based drug delivery device ...

Integrating artificial intelligence and physiologically based pharmacokinetic modeling to predict in vitro and in vivo fate of amorphous solid dispersions.

Journal of controlled release : official journal of the Controlled Release Society
Amorphous solid dispersions (ASDs) have emerged as a pivotal strategy in enhancing the dissolution profiles of poorly water-soluble drugs. Although the apparent dissolution rate (both molecular and colloidal drugs) within ASDs has been determined in ...

Novel design of 3D printed tumbling microrobots for in vivo targeted drug delivery.

Journal of controlled release : official journal of the Controlled Release Society
This paper presents innovative designs for 3D-printed tumbling microrobots, specifically engineered for targeted in vivo drug deliv- ery applications. The microrobot designs, created using stereolithography 3D printing technologies, incorporate perma...

Machine Learning Predicts Drug Release Profiles and Kinetic Parameters Based on Tablets' Formulations.

The AAPS journal
Direct compression (DC) remains a popular manufacturing technology for producing solid dosage forms. However, the formulation optimisation is a laborious process, costly and time-consuming. The aim of this study was to determine whether machine learn...

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application.

Scientific reports
A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured using Raman spectroscopy and the data was used for ...

Ranking of apparent drug affinity to mesoporous silica utilizing a chromatographic screening method and a tree-based prediction model.

International journal of pharmaceutics
Mesoporous silica has emerged as a promising component in bio-enabling formulation strategy. However, there is currently a lack of predictive tools for assessing drug-silica interactions in a preformulation phase, when formulators only have minimal m...

Polymer microparticles in an evolving drug delivery landscape: challenges and the role of machine learning.

International journal of pharmaceutics
Polymer microparticles (MPs) have long been a cornerstone of long-acting injectable (LAI) drug delivery, offering controlled drug release, reduced dosing frequency, and improved patient adherence. Among these, poly(lactide-co-glycolide) (PLGA)-based ...

Analysis of an electrically responsive drug delivery system for ibuprofen on-demand release using a machine learning approach.

Computers in biology and medicine
This study aims to optimize ibuprofen-based Drug Delivery Systems (DDSs) to address their short half-life and enhance controlled release. Advanced machine learning techniques, including Artificial Neural Networks, Random Forest, and CatBoost, were em...

PLGA-based long-acting injectable (LAI) formulations.

Journal of controlled release : official journal of the Controlled Release Society
Long-acting injectable (LAI) formulations, which deliver drugs over weeks or months, have been in use for more than three decades. Most clinically approved LAI products are formulated using poly(lactide-co-glycolide) (PLGA) polymers. Historically, th...