QbD principles and strategic thinking can reduce the time required to optimize formulation. To help pharmaceutical and biotech companies improve their operations, FDA has been promoting the use of ...

Coriolis’ new ATMP facilities will meet the growing demand for formulation development and analytical characterization for ATMPs up to BSL2/S2 level and increase Coriolis’ capabilities significantly.

Optimizing formulation and API synthesis is critical for product success. Technology providers advance chemocatalysis for olefin metathesis and asymmetric reactions in API synthesis. And ...

Stay ahead in the rapidly evolving LNP space with the 4 th LNP Formulation & Process Development Summit - the largest global meeting dedicated purely to LNPs. The official event guide is your ...

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 ...

Clinical evaluation of several modified release once-daily formulations of danuglipron resulted in encouraging pharmacokinetic data for several candidates with one showing the most favorable profile ...

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 ...

This marcus evans forum will feature these existing key problems confronting formulation scientists and assist them with a better experiment protocol to ensure quality processes aligned with health ...

The global COVID-19 pandemic highlighted the necessity of accelerating various stages of drug development, lowering drug candidate attrition rates, and establishing reliable testing processes to ...

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 ...