AIMC Topic: Chemistry, Pharmaceutical

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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...

ML-Driven Pharmaceutical Cocrystal Technology: Advances in Screening, Property Prediction and Applications.

AAPS PharmSciTech
Recently, pharmaceutical cocrystal technology has garnered considerable global attention because of its innovativeness and environmental sustainability. This technology effectively enhances the bioavailability of poorly soluble drugs and optimizes th...

Combining crystal engineering and surface engineering to estimate the structure -functions relationship of Tafamidis solid state forms with the aid of machine learning.

International journal of pharmaceutics
The mutual benefits of surface engineering and crystal engineering led to the discovery of a pharmaceutical cocrystal with balanced biopharmaceutical properties. The surface engineering of a pharmaceutical API (Active Pharmaceutical Ingredient), name...

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 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-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...

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...

Multistep Machine Learning Pipeline For Polymeric Nanoparticle Design.

AAPS PharmSciTech
Integrating machine learning (ML) into nanotechnology represents a promising strategy for rational design and accelerated development of drug delivery systems. However, studies in this field are scarce and face methodological and interpretative probl...