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 because they ...

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 ...

This interview addresses the challenges and complexities of developing and manufacturing controlled-release drug formulations. Could you introduce yourself and your expertise in drug development and ...

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 ...

A new study in the Journal of Managed Care & Specialty Pharmacy finds that the introduction of new formulations of drugs often delays the introduction of generic competitors by two or more years. The ...

Early on, the drug substance (DS) manufacturer will provide a wealth of preliminary characterization data. And if the drug is active in early nonclinical and preclinical testing, a larger quantity of ...

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

Spray-dried protein microparticles without MoNi surfactant form paste-like materials (left), whereas those spray dried with MoNi surfactant form injectable suspensions that flow like liquids (right).

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 ...