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 ...

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 ...

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.

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 ...

Lipid nanoparticle formulation has increased over the past two decades. LNPs have proven to be effective nano-based delivery vehicles for cytotoxic chemotherapeutic drugs, nucleic acid therapies and ...

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, ...