AIMC Topic: Drug Liberation

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Development of a rapid detection method for patch thickness based on machine vision and near infrared spectroscopy: a case study of curcumin patch.

International journal of pharmaceutics
Patches represent a significant dosage form within transdermal drug delivery systems. In the quality control of transdermal patches, thickness not only affects the drug loading per unit area and drug release behavior but also is associated with patie...

Mechanistic, data-driven, and hybrid models: A critical comparison in surrogate drug dissolution modeling.

International journal of pharmaceutics
Mathematical modeling is becoming increasingly important in the pharmaceutical industry. It supports the Quality by Design framework by aiding process understanding and examining the impact of critical material and process parameters on the critical ...

Integrating machine-learning and nanotechnology to quantify pH-modulated oxaliplatin release.

Scientific reports
The purpose of this work was to formulate and characterize pH-sensitive, surfactant-based nanomicelles for the targeted delivery of Oxaliplatin to breast cancer cells. A secondary aim was to utilize machine learning (ML) models to interpolate and dis...

Microfluidics-based fabrication and targeted motion control of multimodal therapeutic hydrogel capsule microrobots.

Journal of materials chemistry. B
In cancer combination therapy, micro-robot systems that integrate multiple therapeutic functions have emerged as a key direction for overcoming the limitations of traditional treatments. This study proposes a magnetic thermosensitive hydrogel capsule...

FormulationLAI: A physiology-based machine learning framework for accelerated development of long-acting injectable formulations.

Journal of controlled release : official journal of the Controlled Release Society
Long-acting injectables (LAIs) represent promising drug delivery platforms for chronic diseases management, but their clinical translation remains constrained by extremely long trial-and-error experiments (8-10 years), limited mechanism insights, and...

A gastric retentive robotic capsule enables emergency-prepared and responsive oral drug delivery in canine models.

Science advances
Existing oral drug delivery modalities often fall short in medical emergencies due to the absence of readily deployable, internalized drug storage and delivery mechanisms that combine long-term standby with rapid activation. To address this challenge...

Ionic liquids revolutionizing drug delivery: Recent advances and emerging opportunities.

Journal of controlled release : official journal of the Controlled Release Society
Ionic liquids (ILs) have emerged as a transformative platform in drug delivery, overcoming key limitations of conventional systems such as poor drug solubility, low bioavailability, and inadequate targeting. Through rational cation-anion engineering,...

Integrated experimental, computational and machine learning approaches for the development of Apremilast-Aceclofenac coamorphous systems.

International journal of pharmaceutics
Understanding the molecular mechanisms of drug coamorphization remains a key challenge in solid-state pharmaceutics. This study presents a molecular level strategy for designing drug-drug coamorphous systems (CAMs) of apremilast (APR) and aceclofenac...

Development and In Vivo evaluation of liposomal fentanyl nanocarriers using thin-film hydration and AI-based characterization for enhanced analgesic efficacy in anesthesia.

Scientific reports
The aim of this study was to develop and evaluate a liposomal formulation of fentanyl to improve its analgesic efficacy and safety profile in anesthesia, using artificial intelligence (AI) techniques to characterize and optimize the formulation. The ...

A mechanistic framework for predicting tablet disintegration: Integrating the Representative Capillary Evolution Model (RCEM) and the Dynamic Void Fraction Evolution Model (DVFEM).

International journal of pharmaceutics
The disintegration behaviour of pharmaceutical tablets is a critical quality attribute influencing drug release, yet predicting it from formulation and processing parameters remains challenging due to complex underlying mechanisms. This work presents...