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 Forum on Drug Discovery, Development, and Translation provides a neutral platform for dialogue and collaboration among thought leaders in government, industry, academia, consortia, foundations, ...

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 ...

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 ...

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 world of drug discovery and clinical trials, drug formulation can make or break a product’s success, yet its role often goes underappreciated, says Christine Allen, cofounder and CEO of ...

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 ...

Expertise in CMC (chemistry, manufacturing, and control) ensures the appropriate manufacture of a pharmaceutical or biologic by coordinating material characterization, formulation development, and ...

Conduit Pharmaceuticals Inc. has announced a strategic services agreement with Agility Life Sciences to develop new solid oral-dosage form products for its autoimmune pipeline, intended for future ...

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 ...