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, ...

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

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).

Study designed to evaluate performance and formulation stability of proprietary nose-to-brain delivery systemSARASOTA, FLA., June 29, 2026 ...

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 ...

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 ...

Companies see a commercial opportunity in creating new ways to administer drugs to patients – in space.

(MENAFN- GlobeNewsWire - Nasdaq) Key market opportunities in the CDMO for formulations sector include increasing demand for custom peptide synthesis, expansion of GMP-grade production, rising ...

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 ...