AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Technology, Pharmaceutical

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3D Printable Drug Delivery Systems: Next-generation Healthcare Technology and Regulatory Aspects.

Current pharmaceutical design
A revolutionary shift in healthcare has been sparked by the development of 3D printing, propelling us into an era replete with boundless opportunities for personalized DDS (Drug Delivery Systems). Precise control of the kinetics of drug release can b...

Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
This work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the particle size distribution (PSD) of two components of a powder blend. The blend consisted of ...

Inkjet Printing of Pharmaceuticals.

Advanced materials (Deerfield Beach, Fla.)
Inkjet printing (IJP) is an additive manufacturing process that selectively deposits ink materials, layer-by-layer, to create 3D objects or 2D patterns with precise control over their structure and composition. This technology has emerged as an attra...

A Review on the Recent Advancements and Artificial Intelligence in Tablet Technology.

Current drug targets
BACKGROUND: Tablet formulation could be revolutionized by the integration of modern technology and established pharmaceutical sciences. The pharmaceutical sector can develop tablet formulations that are not only more efficient and stable but also pat...

AI-driven design of customized 3D-printed multi-layer capsules with controlled drug release profiles for personalized medicine.

International journal of pharmaceutics
Personalized medicine aims to effectively and efficiently provide customized drugs that cater to diverse populations, which is a significant yet challenging task. Recently, the integration of artificial intelligence (AI) and three-dimensional (3D) pr...

Exploring the Potential of Artificial Intelligence as a Facilitating Tool for Formulation Development in Fluidized Bed Processor: a Comprehensive Review.

AAPS PharmSciTech
This in-depth study looks into how artificial intelligence (AI) could be used to make formulation development easier in fluidized bed processes (FBP). FBP is complex and involves numerous variables, making optimization challenging. Various AI techniq...

Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals.

AAPS PharmSciTech
The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not onl...

Hybrid modeling of T-shaped partial least squares regression and transfer learning for formulation and manufacturing process development of new drug products.

International journal of pharmaceutics
T-shaped partial least squares regression (T-PLSR) is a valuable machine learning technique for the formulation and manufacturing process development of new drug products. An accurate T-PLSR model requires experimental data with multiple formulations...

3D printed dosage forms, where are we headed?

Expert opinion on drug delivery
INTRODUCTION: 3D Printing (3DP) is an innovative fabrication technology that has gained enormous popularity through its paradigm shifts in manufacturing in several disciplines, including healthcare. In this past decade, we have witnessed the impact o...

Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine.

International journal of pharmaceutics
Medicines remain ineffective for over 50% of patients due to conventional mass production methods with fixed drug dosages. Three-dimensional (3D) printing, specifically selective laser sintering (SLS), offers a potential solution to this challenge, a...