AIMC Topic: Drug Compounding

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Implementing QbD for Nano-Pharmaceuticals and Complex Formulations to Achieve Predictable and High-Quality Outcomes.

AAPS PharmSciTech
Recent advances in artificial intelligence (AI) and machine learning (ML) are revolutionizing nanopharmaceutical development by enabling data-driven formulation design, process optimization, and prediction of biological performance. AI encompasses co...

Monitoring of occupational exposure to hazardous medicinal products in robotic compounding.

European journal of hospital pharmacy : science and practice
OBJECTIVE: This study aims to evaluate the risk of occupational exposure to hazardous medicinal products (HMPs) when utilising robotic compounding systems for the preparation of antineoplastic sterile medications. Specifically, it assesses the levels...

Machine Learning for the Prediction of Size and Encapsulation Efficiency of mRNA-Loaded Lipid Nanoparticles Following a Postencapsulation Approach.

ACS applied bio materials
Lipid nanoparticles (LNPs) have gained significant attention thanks to their ability to encapsulate and deliver mRNA. Exploring a variety of lipid compositions and different preparation processes is essential for a better understanding of the mRNA en...

Deconvoluting Biophysical Factors that Influence Long-Term Aggregation Rates of High-Concentration Monoclonal Antibody Formulations.

Molecular pharmaceutics
Efficient determination of developable protein drug candidates and stable solution conditions is a key challenge in industrial drug development. Protein aggregation is difficult to predict and can lead to challenges in manufacturing, storage, and pat...

Current state of machine learning implementation in pharmaceutical process modeling for oral solid dosage forms.

International journal of pharmaceutics
Driven by the Food and Drug Administration's Quality-by-Design initiative and the advancements of Industry 4.0, the pharmaceutical industry is transitioning from traditional batch manufacturing to advanced manufacturing. This transition requires resh...

Current Status on the Convergence of Artificial Intelligence and Formulation Development in Industry: A Review.

AAPS PharmSciTech
Since Pfizer developed the mRNA vaccine for COVID-19 by leveraging artificial intelligence (AI) for designing the vaccine, integrating AI and allied domains in the drug development process has escalated at an unimaginable rate. Owing to the complex a...

A quantitative size stability metrics for long-acting suspensions and its prediction with machine learning.

International journal of pharmaceutics
Defining suspension stability can be extremely complex, but beyond critical during the formulation development of nano- and microsuspensions intended for long-acting injectables. As of now, the current practice is based on the trial-and-error approac...

A review of the state-of-the-art: progress in ultrasonic and acoustic techniques for quality assessment in the development and manufacturing of oral solid dosage forms - Part I: theoretical foundations and principles.

International journal of pharmaceutics
Over the past two decades, a diverse array of ultrasonic and acoustic elastic-wave techniques has been developed to non-destructively assess macro- and micro-scale properties of compressed Oral Solid Dosage (OSD) forms. These methods are increasingly...

Machine learning recovers corrupted pharmaceutical 3D printing formulation data.

International journal of pharmaceutics
Pharmaceutical 3D printing is an emerging digital manufacturing technology capable of autonomously producing personalised medicines. However, the same reliance on digital workflows that enables this innovation also introduces new vulnerabilities, mos...

Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications.

International journal of pharmaceutics
Liposomes have transformed drug delivery by enhancing the solubility, stability, and bioavailability of therapeutic agents, driving widespread clinical adoption and contributing to a rapidly expanding multi-billion-dollar market. However, despite the...