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, ...

Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

AI drug discovery moves into the factory: Insilico Medicine and Bora Pharmaceuticals launched a strategic alliance on July 14 ...

Optimized Oral Formulation Demonstrates Favorable Oral Bioavailability Together with Robust Brain and Liver Distribution ...

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 ...

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).

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 ...

Dr. Christine Allen, Co-Founder and CEO of Intrepid Labs, and Dr. Andrew Lewis, Chief Scientific Officer of Quotient Sciences, explain how AI can be used in drug development to shorten development ...

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 ...

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 ...