Abstract and Introduction Characteristics and Contributors to Drug Formulation Errors Recommendations for Reducing Patient Risk From Errors With Dose Formulations Summary References Characteristics ...

Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...

CAMBRIDGE, MA -- About 60 percent of drugs on the market have hydrophobic molecules as their active ingredients. These drugs, which are not soluble in water, can be difficult to formulate into tablets ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...

To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...

NMR spectroscopy enables non-invasive characterization of microstructure properties in nanoemulsion formulations, enhancing excipient selection and formulation optimization. The method supports FDA's ...

In the world of drug discovery and clinical trials, drug formulation can make or break a product’s success, yet its role often goes underappreciated, says Christine Allen, cofounder and CEO of ...

Non-invasive delivery systems, like needle-free nasal sprays, improve patient adherence by addressing psychological barriers and offering logistical advantages such as extended shelf life and ...