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: ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...