In this forward-looking whitepaper, Blue Mountain explores how agentic AI —autonomous, context-aware AI agents—could ...

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 ...

Suzanne Jansen, MSc, PharmD, ICON, says early-phase clinical success depends on flexible, simple formulations that support wide dose ranges, matching placebos, and robust stability. Formulations are ...

How integrated pharmaceutical manufacturing helps CDMOs simplify scale-up, reduce complexity, and move from raw materials to finished dosage forms faster.

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: ...

The use of acidic MPAs (pH 2–4) is the default in pharmaceutical testing because they suppress silanol ionization (from Si-OH to Si-O -) and improve peak shape for basic drugs. However, highly ...

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 ...

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 ...

The National Pharmaceutical Pricing Authority has revised retail prices of 28 formulations and capped ceiling prices for six ...