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, ...

Intravacc offers four complementary vaccine development platforms: bacterial vaccines, viral vaccines, conjugate vaccines, and E.coli expressed ...

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).

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 ...

VANCOUVER, BC / ACCESS Newswire / June 30, 2026 / Onco-Innovations Limited (CBOE CA:ONCO)(OTCQB:ONNVF)(Frankfurt:W1H, WKN: A3EKSZ) ("Onco" or the "Company") is pleased to announce, further to its news ...

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 ...

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

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 ...

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 ...