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.

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).

Redwire Corporation (NYSE: RDW), a global leader in aerospace and defense technology solutions, announced today it has appointed pioneering industry leaders Paul Reichert, former Principal ...

Formulation complexity, especially in small molecule drugs, has been getting more attention as capabilities continue to improve.

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 ...

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 ...

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 ...

Drug development is an unforgiving business. Discovering a novel molecule is difficult enough, but then it can take years of preclinical studies and molecular tweaking to mitigate a drug’s toxicity, ...

Industries from semiconductors to fiber-optic cables stand to benefit from space research and manufacturing, but experts told CNBC that medicine could see the most immediate disruption. A flurry of ...

Sino Biopharmaceutical enters exclusive license agreement with AstraZeneca for development, manufacturing and commercialization of PDE3/4 inhibitor, TQC3721: Hong Kong Thursday, J ...

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 ...