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 ...
Formulation complexity, especially in small molecule drugs, has been getting more attention as capabilities continue to ...
Companies see a commercial opportunity in creating new ways to administer drugs to patients – in space.
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 ...
Study designed to evaluate performance and formulation stability of proprietary nose-to-brain delivery systemSARASOTA, FLA., June 29, 2026 ...
Advances in drug discovery and clinical research have shifted the bottleneck in medicines development to chemistry, manufacturing, and controls activities, a critically step for regulatory approval.
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, ...
PRINCETON, N.J., Nov. 21, 2023 (GLOBE NEWSWIRE) -- Certara, Inc. (Nasdaq: CERT), a global leader in biosimulation, today announced the introduction of Simcypâ„¢ Biopharmaceutics software. It is designed ...
Self-emulsifying drug delivery systems (SEDDS) are a well-established formulation strategy for improving the oral bioavailability of poorly water-soluble drugs. Traditional development of these ...
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 ...