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 ...

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 ...

Patient-centric drug development improves adherence and outcomes by focusing on patient needs and preferences, with regulatory support from bodies like the FDA. Special populations, including ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

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 ...

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 ...

Researchers develop an oil-based gel formula suitable for metered dosages of medication. There are many reasons why someone might find it difficult to swallow solid medications like pills and tablets.

The biopharmaceutical industry stands on the cusp of a revolution, with artificial intelligence (AI) emerging as a transformative force in drug development. AI's ability to reduce the time and cost of ...

Senate Judiciary Committee member Sen. John Cornyn, R-Tex., has sponsored a bill to crack down on an anticompetitive practice called prescription drug product hopping. (AP Photo/Alex Brandon) In 2014, ...