AIMC Topic: Drug Compounding

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From Liquid SNEDDS to Solid SNEDDS: A Comprehensive Review of Their Development and Pharmaceutical Applications.

The AAPS journal
The liquid and solid formulations of self-nano-emulsifying drug delivery systems (SNEDDS) have garnered significant attention in the pharmaceutical field for their ability to enhance the solubility and absorption of hydrophobic drugs. While both liqu...

A multitask modelling framework for tablet manufacturability and quality attributes in direct compression using knowledge-guided neural networks.

International journal of pharmaceutics
Assessing the feasibility of a manufacturing route for a given formulation and process is a key initial step in drug product development. Additionally, the final product must meet a series of critical quality attributes to be considered suitable to m...

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...

Machine learning real-time control of continuous granulation process.

International journal of pharmaceutics
The transition from traditional batch to continuous pharmaceutical manufacturing puts additional demands on the efficient process development and operation. The comprehensive understanding of complex interdependencies between critical process paramet...

Advances in Pharmaceutical Cocrystals and Nano-Cocrystals: Strategies for Enhancing Solubility and Translating to Clinical Use.

AAPS PharmSciTech
Poor oral bioavailability in most modern pharmaceuticals is primarily caused by poor aqueous solubility. Most NCEs (New Chemical Entities) and nearly 40% of drugs on the market fall into either Biopharmaceutical Classification System (BCS) class II o...

Bayesian Optimization for Efficient Multiobjective Formulation Development of Biologics.

Molecular pharmaceutics
Biologics, including emerging engineered formats, can often exhibit poor developability profiles, complicating their translation into successful therapeutics. While formulation design can substantially mitigate some developability issues, it represen...

Enhanced ribbon quality in roller compaction process by mitigating splitting through a machine-learning framework.

International journal of pharmaceutics
Ribbon splitting, a phenomenon that can occur during the roller compaction operation used in dry granulation processes, can lead to compromised granule uniformity, poor tabletability, and ultimately, off-specification tablet production. Despite its i...

Predictive modeling approach using machine learning-integrated design of experiments in quality by design for optimizing resveratrol-loaded polymeric nanoparticle formulation.

International journal of pharmaceutics
This study aimed to explore the potential of a Machine learning (ML)-integrated Quality by design (QbD) process to formulate resveratrol (RES)-loaded polymeric nanoparticles (RES-PNPs) for potential use in transdermal drug delivery. The RES-PNPs were...