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 ...

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

Industry experts discuss the benefits of utilizing contract development and contract research organizations in drug discovery and development. Drug discovery can involve extensive research to identify ...

Overcoming common challenges with today’s biologics, such as developing devices for high-concentration subcutaneous ...

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 ...

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 ...

The pharmaceutical development of a cardiovascular polypill presents several unique challenges. The selection of the type and number of active drugs to be incorporated requires important consideration ...

MELBOURNE, Australia, Sept. 28, 2025 (GLOBE NEWSWIRE) -- CLINUVEL today announced that it is advancing new sustained-release liquid drug formulations in a preclinical program evaluating various drug ...

Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic partnership to accelerate drug product development with AI and ML technologies ...

The media have been replete with reports of ways in which the pharmaceutical industry has been able to increase revenue from medications that have been available for decades. 1 We report a new ...