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 ...

Formulation scientists are behind the conversion of active pharmaceutical ingredients (API) into stable, bioavailable, and commercially viable dosage forms, rarely a simple process. Image Credit: ...

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 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 ...

Artificial intelligence is shifting formulation development from empirical trial-and-error to predictive, data-driven design ...

In the last 10 years, there has been significant development in computer simulation of pharmaceutical materials, processes and product performance. Gradually, more mechanistically based models are ...

High-concentration formulations and patient centricity are challenges to the formulation of biosimilars, which already face patent protection barriers. Biosimilar formulation development requires ...