The MarketWatch News Department was not involved in the creation of this content. AI-driven robotics platform reduces drug formulation development time from years to months SACRAMENTO, Calif., May 19, ...

Pharmaceutical drug development relies heavily on the creation of amorphous solid dispersions (ASDs) to enhance the dissolution rate and stability of active pharmaceutical ingredients (APIs).

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 ...

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 ...

Halozyme Therapeutics (NASDAQ:HALO) has entered into a global collaboration and license agreement with Incyte (NASDAQ:INCY) ...

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 ...

CRYSTAL LAKE, Ill.--(BUSINESS WIRE)--Aptar Pharma, a global leader in drug delivery and active material science solutions and services, today announced that it has entered into an exclusive ...

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 ...

Optimized Oral Formulation Demonstrates Favorable Oral Bioavailability Together with Robust Brain and Liver Distribution Following Oral Administration. MIAMI, FL / ACCESS Newswire ...

TORONTO, January 10, 2023 [Embargo 10 a.m. London Time] – Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting ...